Overview
Platform/DevOps Lead providing technical direction, mentorship, and escalation ownership across DevOps and Platform Engineering. Leads the platform practice supporting an enterprise Data Platform, including ingestion, orchestration, CI/CD, and observability layers.
What you'll do
- Set technical direction for DevOps and Platform Engineering, covering CI/CD standards, IaC patterns, orchestration, and observability.
- Own the architecture roadmap for the ingestion layer, scheduling, and deployment automation.
- Serve as the single technical escalation point for platform incidents and change management.
- Drive problem management to reduce recurring incidents and champion permanent fixes.
- Track platform KPIs including reliability, incident volume, deployment success rate, and cost efficiency.
- Mentor Platform and DevOps Engineers on best practices, code quality, and career growth.
- Manage vendor coordination with Databricks and adjacent platform vendors, including upgrade planning and license/capacity discussions.
What you'll need
- 10+ years overall experience in Data Engineering, Platform Engineering, or DevOps, including 2+ years in a technical lead capacity.
- Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent relevant experience.
- Hands-on background in Databricks, cloud platforms, CI/CD, and Infrastructure-as-Code.
- Experience leading platform or DevOps teams supporting enterprise data workloads.
- Proven experience managing vendor relationships and complex upgrade programs.
- Excellent communication and stakeholder management skills across engineering and business audiences.
Nice to have
- Familiarity with Unity Catalog governance and Databricks-native AI capabilities.
- Exposure to industry-standard maturity models for data and platform operations.
- Databricks Certified Data Engineer Professional or Cloud Solutions Architect Professional certification.
Details
Read the full description and apply on the company’s own careers page.
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