Databricks Platform Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

• 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. 

• 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 proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

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