Senior Platform, DevOps Engineer

About the role

CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do-it's how we do it. At CDW we act as one-building trust, speaking candidly, and working together to achieve more. We play to win-focusing on what matters most and delivering for our customers. And we think forward-staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees-working together to solve complex challenges and deliver real impact for our customers and communities. As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help s

Responsibilities

• Automate and manage Databricks workspaces, clusters, Unity Catalog, identity, networking, and secret scopes using Infrastructure‑as‑Code tools such as Terraform.
• Design, implement, and maintain CI/CD pipelines using GitHub Actions and Azure DevOps to support data and platform deployments.
• Establish and enforce platform guardrails including cluster policies, cost controls, logging, alerting, drift detection, and secure networking standards.
• 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.
• Contribute to platform standards, documentation, and continuous improvement initiatives.
• What we expect of you:
• 5 years of experience in designing, developing, and deploying solutions on the Databricks platform with strong understanding of its architecture and capabilities.
• Proficiency in Python, including PySpark, and SQL; experience with Scala or Java is a plus.
• Strong understanding of cloud platforms such as AWS, Azure, or GCP, including compute, storage, identity and access management, and networking services.
• Hands‑on experience with data warehousing, data lake, and Lakehouse architectures, including Delta Lake and Medallion Architecture concepts.
• Proven experience building and maintaining ETL and ELT pipelines in enterprise environments.
• Experience using Git‑based version control and CI/CD practices for data and platform deployments.
• Strong problem‑solving, critical thinking, and communication skills, with the ability to operate independently in complex technical environments.
• CDW is committed to being an AI-fluent organization

Benefits

Additional Information

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. The Senior Platform / DevOps Engineer plays a critical role in designing, automating, and operating enterprise‑grade Databricks platforms in support of data and AI initiatives. This role partners closely with engineering, data, and cloud teams to ensure scalable, secure, and cost‑optimized platform services. The engineer operates with a high degree of autonomy, contributing deep technical expertise while supporting mission‑critical workloads.

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