Databricks Platform Engineer

Salary: $106,500 - 177,500 per year Requirements: Bachelors degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or similar disciplines Hands-on 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 skills and troubleshooting ability Experience supporting production environments and operational workloads Understanding of data modeling, data governance, and modern data architecture concepts Preferred: Experience with Unity Catalog and Databricks governance capabilities Preferred: Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies Preferred: Experience with Python and data engineering automation Preferred: Experience working in large-scale cloud analytics environments Preferred: Experience supporting CI/CD and deployment automation practices Preferred: Healthcare or regulated industry experience Responsibilities: Administer and maintain Databricks environments that support enterprise analytics and data engineering workloads Manage platform configurations, cluster performance, capacity planning, and day-to-day operational stability Monitor platform health and resolve performance, reliability, and operational issues Support the lifecycle 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 Work with infrastructure and security teams to align with enterprise standards Build and support data ingestion frameworks and pipelines for reliable data movement across platforms Collaborate with Data Engineers to enhance platform capabilities and optimize processing workloads Support structured and unstructured data workloads in cloud data environments Help identify and address 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 strengthen scalability, reliability, and developer productivity Document platform standards, operational procedures, and support processes Participate in incident response, root cause analysis, and operational reviews Technologies: Azure CI/CD Cloud Databricks Support Python SQL Security Snowflake Terraform Unity GameDev More: We are McKesson, an impact-driven Fortune 10 healthcare company focused on making quality care more accessible and affordable. We foster a culture where you can grow, make an impact, and bring new ideas as we shape the future of health for patients, communities, and our people. This role is for a Databricks Platform Engineer working independently with limited direction to support enterprise analytics and data engineering operations, cloud infrastructure automation, governance, and platform reliability. Priority is given to candidates in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role presently or in the future. We offer a competitive Total Rewards package, with a base pay range of $106,500 to $177,500, and may also offer bonus or long-term incentive opportunities. last updated 38 week of 2026