Descrizione
Accountability: Lead the design, engineering, operation, and continuous improvement of the enterprise data platform. Establish platform standards and governance across Unity Catalog, compute, access control, security, networking, and workload management. Drive CI/CD, GitHub Actions, Databricks Asset Bundles, infrastructure automation, and self-service capabilities.
Ensure reliability through monitoring, alerting, performance optimization, incident management, and operational runbooks. Optimize Azure and Databricks consumption using compute policies, tagging, workload optimization, and cost monitoring. Enable secure integration and data sharing across internal teams, regional platforms, BI tools, and enterprise applications.
Lead platform modernization initiatives, including Unity Catalog adoption and workload migration. Provide technical leadership, mentoring, and guidance to Data Platform Engineers and collaborate with key stakeholders
Qualifications
Minimum degree in Computer Sciences, Computer Engineering or related field Strong experience as a Data Platform Engineer or Data Engineer, preferably in an enterprise cloud environment. Hands-on experience with Azure Databricks, Python/PySpark, and SQL. Experience administering Databricks at account and workspace levels, including identity, access control, service principals, and security governance.
Experience with GitHub, CI/CD, infrastructure automation, deployment practices, and change governance. Experience with platform m
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