Data Architect, Databricks

McKesson; Alpharetta (GA); On-site; USD 124,100 - 206,900; Full time

Job summary

McKesson is seeking a Senior Data Architect (Databricks) to lead the development of their enterprise data platform on Azure. The successful candidate will define and scale platform standards, establish governance frameworks, and drive Databricks adoption across teams.

This role requires seven years of experience in data engineering, strong hands-on Databricks and Azure skills, and the ability to design secure and compliant data access frameworks.

Qualifications

• Seven or more years of experience in data engineering and architecture.
• Experience building and scaling Databricks platforms.
• Strong hands-on expertise in Databricks and Azure.

Responsibilities

• Own architecture for the Databricks-on-Azure platform.
• Define and scale medallion architecture standards.
• Establish platform standards for Databricks adoption across teams.

Skills

Databricks platform scaling

Azure expertise

Data governance

Performance optimization

Compliance frameworks

Education

Bachelor's degree in Computer Science or Information Systems

Tools

Databricks

Azure (ADLS Gen2)

Terraform

Job description

McKesson is an impact‑driven, Fortune 10 company that delivers capabilities designed to make quality care more accessible and affordable.

About the Role

CoverMyMeds’ Data & Analytics organization seeks a Senior Data Architect (Databricks) to define and scale our enterprise data platform strategy on Azure. The role is hands‑on and involves both design of platform strategy and active contribution to implementation.

Why this role matters

Our team is early in its Databricks maturity journey; this hire will establish foundational standards, processes, and scaling capabilities across the platform.

Preferred Location

• Preferably located in Columbus, OH to support a hybrid work schedule; full‑remote candidates may also be considered.

Legal & Immigration

Applicants must be currently authorized to work in the United States on a full‑time basis without employer sponsorship now or in the future.

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 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 and recommend platform tooling (build versus buy decisions)
• Mentor engineers and architects; establish design reviews and documentation practices

Basic Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience
• Seven or more 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)
• Demonstrated ability to remain technically hands‑on while leading architecture decisions
• 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
• Proven ability to establish standards, drive adoption, and influence multiple engineering teams

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

Base Pay Range

$124,100 – $206,900

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.

Accessibility

If you need a reasonable accommodation for your job search or application, contact [e-mail] (US) or [e-mail] (Canada). Resumes or CVs submitted to these email boxes will not be accepted.