IT Principal Data Architect - ( Data Migration )

Essential Duties and Responsibilities:
- Determine optimal architecture to support business requirements and solve highly complex technical challenges.
- Stay current with industry trends/development and contribute to ongoing research and development.
- Guide and mentor architects and engineers establishing and maintaining architecture of highly complex solutions.
- Produce solution architecture and estimates to support initiative proposals and business development.
- Contribute to standards and approaches for architecture of enterprise data solutions.
- Optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries.
- Identify data-related business requirements and service standards, and translate these into actionable architecture design.

- Frequently responsible for providing guidance, coaching, and training to other employees across the organization within area of expertise.

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, rollback planning, and pos...