-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Tallahassee, US-FL
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:05
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:04
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Atlanta, US-GA
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:04
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:03
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:03
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:02
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:01
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:01
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-03-10 07:49:00
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:59
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:59
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:58
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:57
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:57
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:56
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:55
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:54
-
Essential Duties and Responsibilities:
- Work on IT assignments of moderate difficulty under the direction of a more senior mentor to build a well-rounded skillset.
- Escalate issues and questions to management, as necessary.
- Participate in group discussions with peers or external groups to solution problems of moderate scope.
- Participate in meetings to gain process knowledge and guidance on assigned projects.
- Read, understand, and perform assignments within prescribed guidelines.
- Approach challenges and create solutions with a critical thinking and customer service mindset.
- Prepare standard reports and presentation materials.
• Collaborate with cross-functional teams.
• Participate in Agile ceremonies and requirement delivery.
• Research, analyze, and present data.
• Leverage AI to draft epics, user stories, and detailed acceptance criteria.
• Assist in identifying automation and AI opportunities.
• Support data readiness and documentation.
• Contribute to continuous improvement initiatives.
• Lead presentations that demonstrate AI technologies and their use cases.
• Follow confidentiality and data protection policies.
• Validate AI-generated outputs for accuracy and compliance.
• Maintain traceability and documentation standards.
Minimum Requirements
- High school diploma or GED required and 0-2 years of relevant professional experience required, or equivalent combination of education and experience.
Additional Minimum Qualifications:
• Currently enrolled and pursuing an Information Systems or similar degree.
• Knowledge of systems analysis, data modeling, or design principles.
• Understands the core AI concepts, including machine learning basics, model training, and data requirements.
• Strong problem-solving and critical thinking skills.
• Excellent verbal, written, and interpersonal communication skills.
• Highly organized with ability to multitask.
• Commitment to continuous learning and innovation.
• Dedication to continuous improvement and innovation.
• Passion for growth, development and learning new things.
• Knowledge or understanding of database query languages such as SQL is a plus but not required.
AI-Enabled Skills (Required):
• Experience using AI-assisted tools for documentation, analysis, and research.
• Ability to write and refine prompts for accurate AI outputs.
• Understanding data quality and why it matters for analytics and AI-supported decisioning.
• Awareness of responsible AI principles including privacy, bias, and security.
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expect...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:54
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:53
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:52
-
Essential Duties and Responsibilities:
- Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.
- Lead strategy and operational delivery of business-critical platforms and services.
- Create new processes and structures to help drive delivery and operational excellence.
- Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.
- Build a highly available, scalable platform with the customer at the center.
- Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.
- Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination.
Supervision is often provided through a team of subordinate managers.
Job-Specific Essential Duties and Responsibilities:
Data Architecture & Migration Strategy
- Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.
- Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.
- Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.
- Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.
Data Engineering & Technical Delivery
- Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.
- Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.
- Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.
- Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.
Data Quality, Validation & Governance
- Architect and govern data validation, reconciliation, and control frameworks for all migrations.
- Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.
- Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.
- Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.
Program Execution & Delivery Accountability
- Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.
- Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.
- Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.
- Lead cutover execution, roll...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:52
-
Essential Duties and Responsibilities:
- Work on IT assignments of moderate difficulty under the direction of a more senior mentor to build a well-rounded skillset.
- Escalate issues and questions to management, as necessary.
- Participate in group discussions with peers or external groups to solution problems of moderate scope.
- Participate in meetings to gain process knowledge and guidance on assigned projects.
- Read, understand, and perform assignments within prescribed guidelines.
- Approach challenges and create solutions with a critical thinking and customer service mindset.
- Prepare standard reports and presentation materials.
• Collaborate with cross-functional teams.
• Participate in Agile ceremonies and requirement delivery.
• Research, analyze, and present data.
• Leverage AI to draft epics, user stories, and detailed acceptance criteria.
• Assist in identifying automation and AI opportunities.
• Support data readiness and documentation.
• Contribute to continuous improvement initiatives.
• Lead presentations that demonstrate AI technologies and their use cases.
• Follow confidentiality and data protection policies.
• Validate AI-generated outputs for accuracy and compliance.
• Maintain traceability and documentation standards.
Minimum Requirements
- High school diploma or GED required and 0-2 years of relevant professional experience required, or equivalent combination of education and experience.
Additional Minimum Qualifications:
• Currently enrolled and pursuing an Information Systems or similar degree.
• Knowledge of systems analysis, data modeling, or design principles.
• Understands the core AI concepts, including machine learning basics, model training, and data requirements.
• Strong problem-solving and critical thinking skills.
• Excellent verbal, written, and interpersonal communication skills.
• Highly organized with ability to multitask.
• Commitment to continuous learning and innovation.
• Dedication to continuous improvement and innovation.
• Passion for growth, development and learning new things.
• Knowledge or understanding of database query languages such as SQL is a plus but not required.
AI-Enabled Skills (Required):
• Experience using AI-assisted tools for documentation, analysis, and research.
• Ability to write and refine prompts for accurate AI outputs.
• Understanding data quality and why it matters for analytics and AI-supported decisioning.
• Awareness of responsible AI principles including privacy, bias, and security.
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expect...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:51
-
Essential Duties and Responsibilities:
- Work on IT assignments of moderate difficulty under the direction of a more senior mentor to build a well-rounded skillset.
- Escalate issues and questions to management, as necessary.
- Participate in group discussions with peers or external groups to solution problems of moderate scope.
- Participate in meetings to gain process knowledge and guidance on assigned projects.
- Read, understand, and perform assignments within prescribed guidelines.
- Approach challenges and create solutions with a critical thinking and customer service mindset.
- Prepare standard reports and presentation materials.
• Collaborate with cross-functional teams.
• Participate in Agile ceremonies and requirement delivery.
• Research, analyze, and present data.
• Leverage AI to draft epics, user stories, and detailed acceptance criteria.
• Assist in identifying automation and AI opportunities.
• Support data readiness and documentation.
• Contribute to continuous improvement initiatives.
• Lead presentations that demonstrate AI technologies and their use cases.
• Follow confidentiality and data protection policies.
• Validate AI-generated outputs for accuracy and compliance.
• Maintain traceability and documentation standards.
Minimum Requirements
- High school diploma or GED required and 0-2 years of relevant professional experience required, or equivalent combination of education and experience.
Additional Minimum Qualifications:
• Currently enrolled and pursuing an Information Systems or similar degree.
• Knowledge of systems analysis, data modeling, or design principles.
• Understands the core AI concepts, including machine learning basics, model training, and data requirements.
• Strong problem-solving and critical thinking skills.
• Excellent verbal, written, and interpersonal communication skills.
• Highly organized with ability to multitask.
• Commitment to continuous learning and innovation.
• Dedication to continuous improvement and innovation.
• Passion for growth, development and learning new things.
• Knowledge or understanding of database query languages such as SQL is a plus but not required.
AI-Enabled Skills (Required):
• Experience using AI-assisted tools for documentation, analysis, and research.
• Ability to write and refine prompts for accurate AI outputs.
• Understanding data quality and why it matters for analytics and AI-supported decisioning.
• Awareness of responsible AI principles including privacy, bias, and security.
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expect...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:50
-
Essential Duties and Responsibilities:
- Work on IT assignments of moderate difficulty under the direction of a more senior mentor to build a well-rounded skillset.
- Escalate issues and questions to management, as necessary.
- Participate in group discussions with peers or external groups to solution problems of moderate scope.
- Participate in meetings to gain process knowledge and guidance on assigned projects.
- Read, understand, and perform assignments within prescribed guidelines.
- Approach challenges and create solutions with a critical thinking and customer service mindset.
- Prepare standard reports and presentation materials.
• Collaborate with cross-functional teams.
• Participate in Agile ceremonies and requirement delivery.
• Research, analyze, and present data.
• Leverage AI to draft epics, user stories, and detailed acceptance criteria.
• Assist in identifying automation and AI opportunities.
• Support data readiness and documentation.
• Contribute to continuous improvement initiatives.
• Lead presentations that demonstrate AI technologies and their use cases.
• Follow confidentiality and data protection policies.
• Validate AI-generated outputs for accuracy and compliance.
• Maintain traceability and documentation standards.
Minimum Requirements
- High school diploma or GED required and 0-2 years of relevant professional experience required, or equivalent combination of education and experience.
Additional Minimum Qualifications:
• Currently enrolled and pursuing an Information Systems or similar degree.
• Knowledge of systems analysis, data modeling, or design principles.
• Understands the core AI concepts, including machine learning basics, model training, and data requirements.
• Strong problem-solving and critical thinking skills.
• Excellent verbal, written, and interpersonal communication skills.
• Highly organized with ability to multitask.
• Commitment to continuous learning and innovation.
• Dedication to continuous improvement and innovation.
• Passion for growth, development and learning new things.
• Knowledge or understanding of database query languages such as SQL is a plus but not required.
AI-Enabled Skills (Required):
• Experience using AI-assisted tools for documentation, analysis, and research.
• Ability to write and refine prompts for accurate AI outputs.
• Understanding data quality and why it matters for analytics and AI-supported decisioning.
• Awareness of responsible AI principles including privacy, bias, and security.
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expect...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:50
-
Essential Duties and Responsibilities:
- Work on IT assignments of moderate difficulty under the direction of a more senior mentor to build a well-rounded skillset.
- Escalate issues and questions to management, as necessary.
- Participate in group discussions with peers or external groups to solution problems of moderate scope.
- Participate in meetings to gain process knowledge and guidance on assigned projects.
- Read, understand, and perform assignments within prescribed guidelines.
- Approach challenges and create solutions with a critical thinking and customer service mindset.
- Prepare standard reports and presentation materials.
• Collaborate with cross-functional teams.
• Participate in Agile ceremonies and requirement delivery.
• Research, analyze, and present data.
• Leverage AI to draft epics, user stories, and detailed acceptance criteria.
• Assist in identifying automation and AI opportunities.
• Support data readiness and documentation.
• Contribute to continuous improvement initiatives.
• Lead presentations that demonstrate AI technologies and their use cases.
• Follow confidentiality and data protection policies.
• Validate AI-generated outputs for accuracy and compliance.
• Maintain traceability and documentation standards.
Minimum Requirements
- High school diploma or GED required and 0-2 years of relevant professional experience required, or equivalent combination of education and experience.
Additional Minimum Qualifications:
• Currently enrolled and pursuing an Information Systems or similar degree.
• Knowledge of systems analysis, data modeling, or design principles.
• Understands the core AI concepts, including machine learning basics, model training, and data requirements.
• Strong problem-solving and critical thinking skills.
• Excellent verbal, written, and interpersonal communication skills.
• Highly organized with ability to multitask.
• Commitment to continuous learning and innovation.
• Dedication to continuous improvement and innovation.
• Passion for growth, development and learning new things.
• Knowledge or understanding of database query languages such as SQL is a plus but not required.
AI-Enabled Skills (Required):
• Experience using AI-assisted tools for documentation, analysis, and research.
• Ability to write and refine prompts for accurate AI outputs.
• Understanding data quality and why it matters for analytics and AI-supported decisioning.
• Awareness of responsible AI principles including privacy, bias, and security.
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expect...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-03-10 07:48:49
