Databricks Platform Engineer - Azure Cloud & Infra Automation

McKesson Corporation; Columbus (OH); On-site; USD 107,000 - 178,000; Full time

Job summary

McKesson in Columbus, OH is seeking a Databricks Platform Engineer to build and operate a cloud-based data platform supporting analytics and data product development. You will work with data engineers, architects, and analysts to keep the platform scalable, secure, and reliable.

The role emphasizes Databricks administration, Terraform automation, Azure infrastructure, and data ingestion pipelines. Strong SQL, troubleshooting, and governance experience are essential, with priority given to

Qualifications

• Bachelor's degree in CS/IS/Engineering or equivalent experience.
• 4+ years of experience in Data/Platform Engineering or related fields.
• Experience administering Databricks environments.
• Experience with Terraform and Infrastructure as Code practices.
• Experience supporting Azure cloud services and infrastructure.
• Strong SQL and troubleshooting skills.
• Experience supporting production environments and operational workloads.
• Understanding of data modeling, data governance, and modern data architecture concepts.

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

SQL

Troubleshooting

Data modeling

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks

Terraform

Azure

Unity Catalog

Python

CI/CD

Job description

McKesson in Columbus, OH is seeking a Databricks Platform Engineer to build and operate a cloud-based data platform supporting analytics and data product development. You will work with data engineers, architects, and analysts to keep the platform scalable, secure, and reliable.

The role emphasizes Databricks administration, Terraform automation, Azure infrastructure, and data ingestion pipelines. Strong SQL, troubleshooting, and governance experience are essential, with priority given to