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Azure DataOps Lead - IN

30+ days ago 2026/05/08
Other Business Support Services
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Job description

Role Overview
The Azure DataOpsLeadwillbe 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. 

Key Responsibilities


  • 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. 

Required Skills & Experience


  • 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. 

Preferred Qualifications


  • 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. 

Soft Skills


  • Strong leadership with a proactive and analytical mindset. 
  • Effective communicator with the ability to manage global stakeholders. 
  • Team-oriented with a focus on mentoring and capability building. 
  • Process-driven approach with commitment to continuous improvement. 
  • Strong sense of accountability and delivery excellence. 

This job post has been translated by AI and may contain minor differences or errors.
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