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Mid-level, metro location, and a broadly appealing data platform role increase candidate competition significantly.
Role requires data-platform and Databricks-specific expertise, but cloud and CI/CD skills remain partly transferable.
Explicit 6+ years plus mandatory Databricks, AWS, GitLab, Python, and IaC skills imply high filtering rigor.
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Own and maintain the enterprise data platform infrastructure on cloud and Databricks, including deployment, patching, and environment refresh.
Design, implement, and manage CI/CD pipelines and deployment automation using GitLab and Databricks-native tools, ensuring standardized deployment strategies and change request lifecycle.
Provide operational support including job scheduling/orchestration, monitoring, alerting, and incident escalation to ensure platform stability and reliability.
Bachelor's or Master's degree in Computer Science, IT, or equivalent experience.
6+ years of industry experience in Data Engineering, Cloud Infrastructure, or DevOps.
Hands-on experience with GitLab CI/CD tooling for pipeline authoring, release, and secrets management.
Strong experience with AWS cloud platforms, Databricks platform administration, Python and Bash/Shell scripting, and monitoring tools for alerting and incident triage.
Demonstrates strong platform engineering and DevOps skills with operational ownership across deployment, monitoring, and automation of large-scale data platforms.
Experienced in managing cloud-based data workloads (AWS preferred) and working knowledge of Databricks with enterprise data replication tools like HVR.
Comfortable leading platform stability initiatives and collaborating cross-functionally including vendor coordination and operational support in a complex enterprise environment.