Director of Software Engineering (Data Engineering)

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...