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Mid-level metro role with popular title and moderate employer brand but specialized Databricks skills reduce broad competition.
Skills are transferable across industries but Databricks and replication expertise increase domain specificity.
Explicit 6+ years, Databricks, GitLab CI/CD, AWS, IaC and Python make filters strict.
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Own deployment, maintenance, and automation of Databricks workspaces and cloud infrastructure using Infrastructure-as-Code.
Manage and support enterprise data ingestion, job scheduling, orchestration, and CI/CD pipelines for data and platform projects.
Ensure platform stability through monitoring, alerting, incident escalation, and vendor coordination.
Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent experience.
6+ years of industry experience in Data Engineering, Cloud Infrastructure, or DevOps.
Hands-on experience with CI/CD tooling, preferably GitLab, including pipeline authoring and release management.
Strong knowledge of AWS cloud platform and Databricks platform administration; proficient in Python and Bash/Shell scripting.
Experienced in Infrastructure-as-Code and automation with a reliability-first approach focusing on stable, self-healing systems.
Proficient in coordinating cross-team and vendor interactions across platform lifecycle—build, run, and evolve phases.
Demonstrates strong ownership of platform engineering functions including job orchestration, deployment automation, and monitoring.