Note: The job is a remote job and is open to candidates in USA. McKesson is an impact-driven healthcare company that delivers insights, products, and services to make quality care more accessible and affordable. The Databricks Platform Engineer will build, maintain, and optimize a cloud-based data platform supporting analytics, reporting, and data product development, with responsibilities spanning platform operations, cloud infrastructure automation, data ingestion, governance, security, and 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
- 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
- Hybrid work arrangement
- An annual bonus may be offered
- Long-term incentive opportunities may be offered
Company Overview