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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.
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.