Platform Engineer (Data Platform / DevOps)
Core
Build, secure, and automate the enterprise Data Platform on cloud and Databricks to enable Data Engineers and Analytics teams to operate at scale.
Role type
Mid-level Platform Engineer (Data Platform / DevOps)
Builds
Enterprise data platform infrastructure, ingestion frameworks, CI/CD pipelines, and orchestration systems
Domain
Cloud infrastructure and Data Engineering
Deliverable
production ML models | infrastructure
Required skills
CI/CD pipeline authoring, cloud platform administration, Databricks platform administration, monitoring and observability, Python scripting, Bash/Shell scripting
Preferred skills
Enterprise data replication tools, Infrastructure-as-Code, enterprise job orchestration platforms, Databricks Serverless Compute
Technologies
Databricks, GitLab, AWS, HVR, Autopilot
Responsibilities
Deploy and maintain Databricks workspaces and cloud infrastructure using Infrastructure-as-Code; Provide monitoring, recovery, and day-to-day operational support for enterprise job scheduling and orchestration; Build and maintain GitLab CI/CD pipelines for data and platform projects with automated deployment workflows; Configure monitoring, alerting, and logging to help ensure platform stability
Seniority
Mid-level, hands-on IC