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Job Description
Structured overview of role & requirementsAbout This Role
Lead and own the technical direction, architecture roadmap, and delivery for DevOps and Platform Engineering supporting enterprise data workloads.
Serve as the escalation point for platform incidents, driving reliability, problem management, and operational readiness including compliance and audits.
Mentor and manage the Platform/DevOps team capacity, contribute to hiring, and oversee vendor management with Databricks and other platform providers.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, IT, or equivalent relevant experience.
10+ years overall experience in Data Engineering, Platform Engineering, or DevOps including 2+ years in a technical lead role.
Strong hands-on expertise in Databricks, cloud platforms, CI/CD, and Infrastructure-as-Code.
Experience managing vendor relationships and complex upgrade projects; prior platform or DevOps team leadership for enterprise data workloads.
Ideal Candidate Profile
Experienced technical leader balancing short-term operational stability with long-term platform strategy in enterprise data environments.
Strategic thinker with demonstrated ownership of platform health, automation, KPIs, and servant leadership style focused on team growth.
Skilled communicator adept at stakeholder management across engineering, business, and vendor partners, comfortable in cross-functional leadership forums.
