Databricks Platform Engineer

Summary

McKesson is an impact-driven healthcare company delivering insights, products, and services that make quality care more accessible and affordable. The Databricks Platform Engineer will build, maintain, and optimize a cloud-based data platform, focusing on Databricks administration, infrastructure automation, data ingestion, governance, security, and platform reliability.

Responsibilities

• Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads
• Manage platform configurations, cluster performance, capacity planning, and operational stability
• Monitor platform health and troubleshoot performance, reliability, and operational issues
• Support lifecycle management of platform resources across development, testing, and production environments
• Develop and maintain Infrastructure as Code solutions using Terraform
• Support cloud-based data infrastructure within Azure environments
• Implement automation to improve platform consistency, reliability, and operational efficiency
• Partner with infrastructure and security teams to ensure adherence to enterprise standards
• Build and support data ingestion frameworks and pipelines that enable reliable movement of data across platforms
• Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads
• Support structured and unstructured data workloads within cloud data environments
• Assist in identifying and resolving data performance bottlenecks
• Support data governance initiatives using Databricks Unity Catalog
• Implement and maintain data access controls, permissions, and governance standards
• Ensure compliance with organizational security and data management requirements
• Contribute to metadata, lineage, and data quality practices
• Evaluate new tools, technologies, and platform capabilities
• Recommend improvements that enhance scalability, reliability, and developer productivity
• Document platform standards, operational procedures, and support processes
• Participate in incident response, root cause analysis, and operational reviews

Skills

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
• 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines
• Experience administering Databricks environments
• Experience with Terraform and Infrastructure as Code practices
• Experience supporting Azure cloud services and infrastructure
• Experience developing and maintaining data ingestion solutions
• Strong SQL and troubleshooting skills
• Experience supporting production environments and operational workloads
• Understanding of data modeling, data governance, and modern data architecture concepts
• We are unable to provide sponsorship for this role presently or in the future
• Experience with Unity Catalog and Databricks governance capabilities
• Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies
• Experience with Python and data engineering automation
• Experience working in large-scale cloud analytics environments
• Experience supporting CI/CD and deployment automation practices
• Healthcare or regulated industry experience

Qualifications

Must Haves

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
• 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines
• Experience administering Databricks environments
• Experience with Terraform and Infrastructure as Code practices
• Experience supporting Azure cloud services and infrastructure
• Experience developing and maintaining data ingestion solutions
• Strong SQL and troubleshooting skills
• Experience supporting production environments and operational workloads
• Understanding of data modeling, data governance, and modern data architecture concepts
• We are unable to provide sponsorship for this role presently or in the future

Nice to Haves

• Experience with Unity Catalog and Databricks governance capabilities
• Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies
• Experience with Python and data engineering automation
• Experience working in large-scale cloud analytics environments
• Experience supporting CI/CD and deployment automation practices
• Healthcare or regulated industry experience

Benefits

• An annual bonus or long-term incentive opportunities may be offered.