Senior DataOps Engineer
Skills
Azure Data LakeContinuous Integration And Continuous DeliveryDevopsAzure DatabricksDABData OperationsInfrastructure As Code
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong hands-on experience operating Databricks in enterprise environments
- Deep knowledge of Databricks workspaces jobs clusters repositories and Unity Catalog
- Expert-level Terraform experience including module design and infrastructure automation
- Proven experience building CI/CD frameworks for complex cloud platforms
- Strong Python skills for automation and tooling
- Experience implementing monitoring observability and operational support capabilities
- Solid understanding of cloud security access control and governance principles
- Strong software engineering fundamentals and automation mindset
Nice to have
- Enterprise-scale data platform experience
- Delta Lake experience
- Databricks SQL experience
- Azure monitoring tooling
- Event-driven architectures
- Streaming architecture experience
- Cross-functional collaboration
Day to day
- Design and operate platform capabilities that enable data teams to deploy and scale workloads safely and consistently
- Build and maintain Infrastructure as Code and reusable Terraform modules across multiple environments
- Own CI/CD frameworks, platform reliability, monitoring, governance, and security for an enterprise Azure Databricks environment
Hiring process
- Apply directly
- Or contact Keana Perez