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Metro location and common senior data engineering skillset increase candidate competition.
Databricks, Azure and Terraform skills are industry-transferable but require specific platform experience.
No explicit years but mandates Databricks, Azure, Terraform, and CI/CD, implying moderate screening.
Design, build, and maintain CI/CD pipelines and Terraform Infrastructure as Code for Azure and Azure Databricks environments.
Develop and support platform tooling and automation using Python and/or .NET to enable platform self-service and reliability.
Collaborate with cross-functional teams to implement platform management processes including cost tracking, governance, provisioning, and troubleshooting infrastructure and integration issues.
Solid experience with Microsoft Azure infrastructure components: Entra ID, Key Vault, networking, storage.
Hands-on expertise in Azure Databricks including Unity Catalog and cluster/job management.
Proficiency in Python and experience with Terraform in a multi-environment setup.
Experience building and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced working across both infrastructure and data engineering domains in cloud environments, specifically Azure and Databricks.
Skilled in automating platform operations and developing shared modules/libraries for data teams to enable scalable data platform usage.
Familiar with data platform governance, cost management, and platform monitoring processes, indicating a strategic operational mindset.