IT Principal Data Architect Data Migration

Maximus is currently seeking an IT Principal Data Architect. The IT Principal Data Architect - (Data Migration) is a senior technical leader responsible for the architecture, engineering, and delivery of large-scale, complex data migration programs, transforming data from legacy platforms into modern, cloud-based application systems and data platforms. This role combines hands‑on technical leadership, data architecture excellence, and delivery accountability to ensure migrations are accurate, scalable, secure, and production ready.

The IT Principal Data Architect provides technical direction for data architecture, migration design, and pipeline engineering while coordinating end‑to‑end delivery across matrixed data engineering, platform, application, testing, and operations teams. This role is accountable for data migration strategy, technical design decisions, execution quality, performance, data integrity, and long‑term platform sustainability.

Modernization initiatives succeed or fail based on data. Legacy data landscapes are often fragmented, inconsistent, poorly documented, and tightly coupled to aging systems. Migrating this data to modern systems and data platforms introduces significant technical, operational, and regulatory risk.

The IT Principal Data Architect ensures that data migrations are:

• Architected correctly to support scalability, performance, and future‑state analytics

• Engineered using robust, automated, and testable pipelines

• Executed with strong data validation, reconciliation, and lineage controls

• Secure, compliant, and operationally stable at scale

• Designed to enable downstream analytics, reporting, and AI/ML use cases

This role is critical to reducing migration risk, avoiding data‑related production failures, and enabling long‑term data platform modernization.

This is a remote position.

• 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.

• 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.

• 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.

• 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…