Related skills
python azure devops azure data factory azure databricks azure synapse analytics📋 Description
- Lead and manage the Azure DataOps function, ensuring smooth daily ops and incident resolution.
- Oversee data pipeline orchestration and automation with ADF, Synapse, Databricks, and Logic Apps.
- Implement CI/CD pipelines for data workflows using Azure DevOps or similar tools.
- Drive incident, problem, change, and request management per ITIL.
- Maintain governance for data quality, access control, and compliance with Purview, Key Vault, RBAC.
- Collaborate with Data Architects and Cloud Engineers to design scalable Azure data solutions.
🎯 Requirements
- 8–12 years total IT experience with 3–5 years in Azure DataOps leadership.
- Hands-on Azure Data Services: ADF, Synapse, Databricks, Azure SQL DB/Managed, ADLS Gen2.
- Strong DataOps concepts; monitoring with Log Analytics, App Insights, Azure Monitor.
- Working knowledge of incident management, RCA documentation, and operational reporting.
- Automation using Python, PowerShell, or ARM templates.
- Microsoft Certified: Azure Data Engineer Associate.
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