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Specialized Databricks, Terraform, and Azure platform skills meaningfully reduce candidate competition.
Requires domain-specific Databricks and Azure platform expertise yet is transferable across industries.
Mandatory Databricks, Azure, Terraform, and Python expertise enforces strict technical filtering.
Design, build, and maintain CI/CD pipelines and Terraform IaC for Azure and Azure Databricks environments to ensure platform reliability and automation.
Develop and support platform tooling and automation using Python and/or .NET, including shared libraries for data engineers and analysts.
Collaborate with cross-functional teams to implement platform management processes (cost tracking, governance, provisioning, monitoring) and troubleshoot infrastructure and integration issues.
Hands-on experience with Microsoft Azure infrastructure (Entra ID, Key Vault, networking, storage).
Experience with Azure Databricks including Unity Catalog and cluster/job management.
Proficiency in Python and working knowledge of SQL; .NET is a plus.
Experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, or similar); Terraform IaC experience preferably in multi-environment setups; Work Experience Required: Not explicitly mentioned in the JD.
Experienced operating at the intersection of infrastructure engineering and data engineering, comfortable managing both Azure cloud services and data platform tooling.
Familiar with implementing governance and cost management practices within data platforms.
Capable of collaborating with diverse teams including data engineers, analysts, and security/infrastructure groups to translate requirements into scalable platform solutions.