Data Architect, Databricks

McKesson Corporation; Irving (TX); On-site; USD 124,100 - 206,900; Full time

Job summary

McKesson Corporation in Irving, Texas is searching for a Senior Data Architect (Databricks) to define and scale their enterprise data platform strategy on Azure. This role involves hands-on architecture and implementation of solutions critical to healthcare outcomes.

The ideal candidate will own the architecture of Databricks on Azure and establish foundational standards across the platform. Applicants should have over 7 years of experience in data engineering and architecture, with strong expertise in Azure and Databricks.

Qualifications

• 7+ years of experience in data engineering and data architecture.
• Proven experience building and scaling Databricks platforms.
• Strong hands‑on expertise in Databricks and Azure.

Responsibilities

• Define platform strategy and implement solutions for healthcare outcomes.
• Own end‑to‑end architecture for Databricks on Azure.
• Lead CI/CD and DevOps for Databricks deployments.

Skills

Databricks platform building

Data engineering

Data architecture

Azure expertise

Delta Lake optimization

Governance frameworks

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform

Kafka

Job description

We are looking for a Senior Data Architect (Databricks) to define and scale our enterprise data platform strategy on Azure. This hands‑on architecture role involves designing the platform strategy and actively implementing solutions that enable critical healthcare outcomes.

Why this role matters: The team is early in its Databricks maturity journey and the hire will establish foundational standards, processes and scaling capabilities across the platform.

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 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 equivalent experience, and typically 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).
• 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 (e.g., 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 for this position

$124,100 - $206,900

Equal Opportunity Employer

McKesson is an Equal Opportunity Employer and 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.

Applicants must be currently authorized to work in the United States on a full‑time basis without the need for employer support or sponsorship now or in the future. If you will require McKesson to provide immigration support or sponsorship, you should not apply for this position.

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail.

McKesson job postings are posted on our career site: careers.mckesson.com.