Senior Platform DevOps Engineer
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Job Description
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.
Responsibilities:
- 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:
- 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:
- Health insurance
- 401(k) matching
- Paid time off
- Professional development opportunities
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