Data Architect

McKesson Corporation

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OHIrving, TXAtlanta, GAAlpharetta, GA
Employment
Full-time
Posted
109 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $193k
$132k $243k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $153,837–$231,812.

Based on 240 similar postings.

Employer

About McKesson Corporation

McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.

McKesson Corporation currently has 137 open roles on FindRole.

Listed pay typically runs $126,000–$210,000 across 77 roles with salary data.

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At a glance

TL;DR · Data Architect

The Data Architect, Databricks joins the CoverMyMeds Data & Analytics organization to define and scale the enterprise data platform strategy on Azure. In this hands-on architecture role, you will design and implement a modern Databricks lakehouse platform, establishing foundational standards, processes, and scaling capabilities. Key responsibilities include owning end-to-end architecture for workspace design, Unity Catalog governance, and storage topology while defining medallion architecture standards. You will build reusable ingestion frameworks for structured and streaming data and lead CI/CD and DevOps patterns. Required expertise includes Databricks, Azure, Delta Lake, and experience with PHI/PII data handling in regulated environments. You will also utilize tools like Kafka, Terraform, and Azure Bicep to optimize performance and cost while ensuring healthcare compliance across the organization.

What you'll do

  • Own the end-to-end architecture for the Databricks-on-Azure lakehouse platform, including workspace design and storage topology.
  • Define and scale medallion architecture standards across various data domains.
  • Establish platform standards and reusable patterns to accelerate Databricks adoption across the organization.
  • Design and implement secure data access frameworks including RBAC, ABAC, and row/column-level security.
  • Lead CI/CD and DevOps patterns for Databricks deployments to ensure audit-ready pipelines.
  • Optimize performance and cost for Delta Lake pipelines using partitioning, clustering, and Photon.
  • Build reusable ingestion frameworks for structured and streaming data from APIs, Kafka, and CDC.
  • Provide architectural guidance on PHI/PII data handling and lifecycle management to meet healthcare compliance.

What we're looking for

  • Must have a Bachelor's degree in Computer Science, Information Systems, or a related field, or relative experience.
  • Requires 7+ years of experience in data engineering and data architecture.
  • Must have proven experience building and scaling Databricks platforms from the ground up.
  • Requires strong hands-on expertise in Databricks and Azure (ADLS Gen2, networking, identity, security).
  • Must have experience designing enterprise data platforms in regulated environments involving PHI/PII handling.
  • Must be currently authorized to work in the United States on a full-time basis without employer support or sponsorship.
  • Experience in healthcare or other regulated industries (preferred).
  • Experience with Infrastructure-as-Code tools like Terraform or Azure Bicep (preferred).

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