Data Architect SME - FDA

Req : RQ220474

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Public Trust/Other

Required:

MBI (T2)

Job Family: Data Science and Data Engineering

Skills:

• Data Architecture Development
• Databricks Platform
• Enterprise Data

Experience:

15+ years of related experience

Job Description:

GDIT is seeking a seasoned Databricks Architect with deep experience designing, optimizing, and governing modern data platforms, paired with the capability to lead day-to-day execution of a complex, high-visibility enterprise data-migration program for a major federal health agency.

This position plays two critical roles:

This work is distinct from the migration program and supports broader enterprise and client AI initiatives.

• Serve as the principal Databricks Architect
  , defining platform strategy, optimization patterns, and architectural governance for enterprise-scale analytics and AI workloads.

• Architect and optimize environments leveraging Delta Lake, Unity Catalog, Databricks SQL, MLflow
  , and related services.

• Establish best practices for data modeling, data quality, lineage, observability, cataloging, security, and compute optimization within the Databricks ecosystem.

• Partner with internal GDIT AI teams to design and operationalize AI/ML-ready data architectures
  , including feature pipelines and model-training datasets.

• Support federal health agencies (FDA, HRSA, etc.) with Databricks-based solutions that enable:

• Predictive analytics

• Real-time insights

• ML-augmented data workflows

• Governance-aligned delivery of AI-driven capabilities

• Advice on Databricks roadmap adoption, new capabilities, and platform evolution for enterprise AI use cases.

• Provide architecture review, advisory guidance, and best-practice alignment across multiple GDIT programs leveraging Databricks.

• Lead technical assessments and proof-of-concept efforts for advanced analytics, automation, and ML/AI integrations.

This is a separate set of responsibilities and represents the day-to-day operational focus.

• Lead the daily execution of a large-scale, complex data-migration and synchronization initiative supporting federal health systems modernization.

• Oversee extraction, transformation, mapping, profiling, validation, reconciliation, and synchronization of data across legacy and modern systems.

• Manage migration phases including high-volume batch loads, CDC-driven integration workflows, performance optimization, and defect triage.

• Lead, mentor, and guide multidisciplinary teams of data engineers and analysts involved in migration work streams.

• Ensure alignment between architecture, implementation, testing, and operational support activities.

• Contribute directly to engineering tasks including:

• Writing and optimizing SQL for validation, reconciliation, and transformation

• Debugging complex pipeline issues, performance bottlenecks, and data anomalies

• Reviewing migration logic, data quality rules, and architectural alternatives

• Support architecture decisions that ensure accuracy, reliability, and scalability of migration workflows.

• Manage migration deliverables, timelines, risks, dependencies, and vendor interactions.

• Provide clear, actionable updates to federal stakeholders, leadership teams, and cross-functional partners.

• Translate technical issues into business-relevant insights for non-technical audiences.

• Bachelor’s degree plus 15+ years of experience in data engineering, architecture, or platform modernization.

• 5+ years of Databricks experience with deep architectural and engineering proficiency.

• Demonstrated, hands-on leadership in complex enterprise data-migration programs within the last 3 years.

• Experience working with the FDA, HRSA, and/or CMS required.

• Expertise in SQL, PySpark/Spark, Delta…