Data Architect, Databricks

Responsibilities Own end‑to‑end architecture for the Databricks‑on‑Azure lakehouse platform, including workspace design, Unity Catalog governance, storage topology, and cluster policies. Define and scale medallion architecture standards (Bronze, Silver, Gold) across domains. Establish platform standards and reusable patterns to accelerate Databricks adoption across teams. Design and implement secure, compliant data access frameworks (RBAC, ABAC, row/column‑level security). Lead CI/CD and DevOps patterns for Databricks deployments, ensuring audit‑ready pipelines. Optimize performance and cost across Delta Lake pipelines (partitioning, clustering, Photon, optimization strategies). Build reusable ingestion frameworks for structured and streaming data (API, Kafka, CDC, batch pipelines). Partner with Data Governance, Security, SRE, and Legal teams to align platform design with healthcare compliance requirements. Provide architectural guidance on PHI/PII data handling and lifecycle management. Evaluate & recommend platform tooling, including build vs. buy decisions. Mentor engineers and architects; establish design reviews and documentation practices. Qualifications Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience. 7+ years of experience in data engineering and data architecture. Proven experience building and scaling Databricks platforms from the ground up, including workspace provisioning, Unity Catalog, and governance frameworks. Strong hands‑on expertise in Databricks and Azure (ADLS Gen2, networking, identity, security). Deep expertise in Delta Lake, including performance optimization and data lifecycle management. Experience designing enterprise data platforms in regulated environments (PHI/PII handling). Strong understanding of data governance, access controls, and compliance frameworks. Ability to remain technically hands‑on while leading architecture decisions. Proven ability to establish standards, drive adoption, and influence multiple engineering teams. Authorized to work in the United States without employer sponsorship for immigration. Preferred Skills & Experience Experience in healthcare or other regulated industries (HIPAA, PHI, compliance‑driven environments). Experience scaling early‑stage Databricks platforms and building enterprise‑wide standards. Familiarity with streaming and event‑driven architectures (Kafka, Structured Streaming). Experience with Infrastructure‑as‑Code tools (Terraform, Azure Bicep). Knowledge of Databricks advanced features (Delta Live Tables, Unity Catalog federation, Delta Sharing). Experience supporting AI/ML data readiness and feature engineering pipelines. Compensation Base pay range for this position: $124,100 – $206,900. Additional compensation may include an annual bonus or long‑term incentive opportunities. Equal Opportunity Employer McKesson is an Equal Opportunity Employer. McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. #J-18808-Ljbffr McKesson’s Corporate