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Azure DataOps Lead

India, Gurgaon · Job Posted January 11, 2026
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Job Description

The Azure DataOps Lead will be responsible for leading the operational delivery, automation, and governance of Azure-based data platforms for enterprise clients. This role involves managing L1/L2/L3 operations, driving proactive monitoring, ensuring SLA adherence, and enabling seamless collaboration between Data Engineering, Cloud, and Business teams. The ideal candidate combines hands-on Azure Data Platform expertise, strong DataOps process management, and team leadership skills to ensure operational excellence, cost optimization, and continuous improvement across customer environments.

Job Responsibility

  • Lead and manage the Azure DataOps function, ensuring smooth daily operations, incident resolution, and performance stability across production data platforms
  • Oversee data pipeline orchestration and automation using Azure Data Factory (ADF), Synapse Analytics, Databricks, and Logic Apps
  • Implement CI/CD pipelines for data workflows using Azure DevOps or equivalent automation tools
  • Drive incident, problem, change, and request management processes aligned with ITIL best practices
  • Coordinate with L1/L2 support teams for escalations, RCA preparation, and client communication
  • Maintain governance for data quality, access control, and compliance using Azure Purview, Key Vault, and RBAC
  • Collaborate with Data Architects and Cloud Engineers to design scalable, resilient, and cost-efficient Azure data solutions
  • Ensure 24/7 operational readiness through proactive alert monitoring, performance tuning, and preventive maintenance
  • Contribute to automation initiatives using PowerShell, Python, or ARM templates to reduce manual efforts and improve system reliability
  • Partner with customer stakeholders to report on SLAs, KPIs, RCA summaries, and provide technical recommendations for improvement
  • Support onboarding and knowledge transition for new clients and ensure documentation consistency across environments
  • Mentor and upskill the DataOps L1/L2 teams, fostering a culture of ownership, accountability, and process discipline

Requirements

  • 8–12 years of total IT experience with at least 3–5 years in Azure DataOps or Data Engineering leadership
  • Hands-on expertise with key Azure Data Services, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure SQL Database / SQL Managed Instance, Azure Data Lake Storage Gen2 (ADLS)
  • Strong understanding of DataOps concepts
  • Experience in monitoring and alerting using Log Analytics, Application Insights, and Azure Monitor
  • Working knowledge of incident management, RCA documentation, and operational reporting
  • Strong analytical skills for troubleshooting performance issues and identifying optimization opportunities
  • Excellent communication and stakeholder management skills across global teams

Nice to have

  • Microsoft Certified: Azure Data Engineer Associate
  • Proficiency across the Azure stack, including Azure SQL Database, Azure Key Vault, Azure Monitor, and Azure Event Hub
  • Experience with Power BI, DataBricks Notebooks, or ML Ops pipelines is a plus
  • Experience working in managed services environments with 24/7 rotational support models
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