Databricks Platform Engineer: Cloud Data & Automation

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 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