
Data Architect, Databricks
Columbus, OH · HybridJobSeen 2 days agoSeen in employer's feed 2 days ago
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Job overview
McKesson’s CoverMyMeds Data & Analytics organization seeks a hands-on Data Architect to define and scale its Azure-based Databricks lakehouse platform. The role combines platform strategy with implementation, establishing standards and reusable patterns while partnering with engineering, analytics, governance, security, SRE, and legal teams. The preferred candidate resides near Columbus, Ohio for a hybrid schedule, though a well-qualified fully remote candidate may be considered.
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Full job description
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' Data & Analytics organization is seeking aData Architect (Databricks)to define and scale our enterprise data platform strategy on Azure. This role will architect, standardize, and accelerate adoption of a modern Databricks lakehouse platform across the organization. You will partner closely with engineering, analytics, governance, and business teams to deliver scalable, secure, and high-performing data solutions that enable critical healthcare outcomes. This is ahands-on architecture rolewhere you will both design platform strategy and actively contribute to implementation. Why this role matters: Our team is early in its Databricks maturity journey, and this hire will establish foundational standards, processes, and scaling capabilities across the platform . ** Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate.* *McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKessonto provide immigration support or sponsorship now or in the future, you should not apply for this position. What You'll Do: - 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 scalemedallion architecture standards (Bronze, Silver, Gold)across domains - Establishplatform standards and reusable patternsto 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 and recommend platform tooling (build vs. buy decisions) - Mentor engineers and architects; establish design reviews and documentation practices Basic Requirements: Bachelor's degree in Computer Science, Information Systems, or a related field, or relative experience, and typically requires 7+ years of experience in data engineering and data architecture
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