Databricks Platform Engineer

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

Job summary

McKesson is seeking a Databricks Platform Engineer to build, maintain, and optimize a cloud-based data platform supporting analytics and data product development. You will work closely with data engineers, architects, and stakeholders to ensure scalable, secure, and efficient data solutions.

The role emphasizes Databricks administration, Terraform/IaC, and cloud tooling in a collaborative environment. Columbus, OH residents are prioritized, with base pay disclosed and equal opportunity

Qualifications

• Bachelor's degree or equivalent experience in CS, IS, engineering, or related field.
• 4+ years 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.

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.

Skills

Databricks admin

SQL

Azure cloud

Terraform IaC

Data ingestion

CI/CD

Python

Data governance

Education

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

Tools

Databricks

Terraform

Azure

Python

Job description

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.

The Databricks Platform Engineer is responsible for building, maintaining, and optimizing the cloud-based data platform that supports analytics, reporting, and data product development across the organization. This role focuses on the operational side of data engineering, including platform administration, infrastructure automation, data ingestion capabilities, governance implementation, and platform reliability.

Working independently with limited direction, this individual partners with data engineers, architects, analysts, and business stakeholders to ensure the enterprise data platform remains scalable, secure, and efficient. The ideal candidate combines hands‑on experience with Databricks administration, cloud infrastructure, and data engineering best practices to enable high-quality data solutions.

Key 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.

Cloud Infrastructure & Automation

• 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.

Data Engineering Enablement

• 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.

Governance & Security

• 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.

Continuous Improvement

• 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.

Priority will be given to candidates who reside in the Columbus, OH metropolitan area.

We are unable to provide sponsorship for this role presently or in the future.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Our Base Pay Range for this position

$106,500 - $177,500

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!