Own secure Databricks platform governance and AI enablement for healthcare data engineering and GenAI/LLM production readiness.

Lead governance, architecture, reliability, and day-to-day operation of secure, scalable Databricks environments supporting the Data Aggregation Contract (CDAC)
Set up workspace governance and Unity Catalog structures, including access controls, service principals, and supporting policies to protect PHI and sensitive healthcare data
Define medallion architecture standards and deliver reusable ingestion and transformation frameworks for CMS claims plus clinical, provider, quality, and oncology data
Strengthen data quality and production reliability using validation, reconciliation, lineage, observability, SLA monitoring, dashboards, and proactive alerts
Establish CI/CD standards, including review of code, data models, and pipeline designs
Evaluate GenAI and LLM use cases for production readiness as part of delivery and operational practices

Bachelor’s degree
Ability to obtain and maintain the required clearance for this role
4+ years of Databricks engineering experience
4+ years with Python, PySpark, SQL, Delta Lake, and Medallion Architecture
2+ years of experience in databricks architecture
Ability to travel 10-15%, on average, based on work and client/industry needs
Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Experience supporting federal healthcare clients, or working with Centers for Medicare & Medicaid Services (CMS) claims, Medicaid or Medicare claims, clinical and provider data, quality measures, or longitudinal patient data
Databricks certifications such as Certified Data Engineer Professional, Data Analyst Associate, Machine Learning Professional, or Generative AI Engineer Associate
Experience administering Databricks platforms, including Unity Catalog, workspace administration, cluster policies, service principals, secrets management, and role-based access controls
Experience implementing Databricks Asset Bundles and Git-based CI/CD across development, test, and production environments

Part of Deloitte’s Government & Public Services (GPS) practice serving federal, state, and local government clients and public higher education institutions
Deloitte’s AI & Data offering spans solutions for designing, developing, and operating Data and AI platforms, products, insights, and services
Focus on helping clients innovate, enhance, and operate data, AI, and analytics capabilities with maturity and scale

Estimated wage range: $113,000 to $188,400 per year
May be eligible for a discretionary annual incentive program (award depends on factors including individual and organizational performance)

Databricks Engineer & AI Enablement Architect - Data Engineer III

Job Description