Senior Platform DevOps Engineer

CDW

Senior Platform/DevOps Engineer automating Databricks platforms for data and AI initiatives at CDW. Collaborating with engineering, data, and cloud teams to deliver scalable and secure solutions.

Posted 5/17/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Automate and manage Databricks workspaces, clusters, Unity Catalog, identity
Design, implement, and maintain CI/CD pipelines using GitHub Actions and Azure DevOps
Establish and enforce platform guardrails including cluster policies, cost controls, logging, alerting
Ensure platform health, scalability, reliability, and cost optimization across Databricks environments
Provide tier‑3 operational support, troubleshoot complex incidents, and drive root‑cause resolution
Collaborate with data engineering, analytics, and AI teams to enable efficient development and deployment of data solutions

Requirements

What you’ll need

5 years of experience in designing, developing, and deploying solutions on the Databricks platform
Proficiency in Python, including PySpark, and SQL
Strong understanding of cloud platforms such as AWS, Azure, or GCP
Hands‑on experience with data warehousing, data lake, and Lakehouse architectures
Proven experience building and maintaining ETL and ELT pipelines
Experience using Git‑based version control and CI/CD practices

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DatabricksPythonPySparkSQLCI/CDETLELTdata warehousingdata lakeLakehouse architectures

Soft Skills

collaborationtroubleshootingproblem-solvingoperational support