Azure DataOps Lead - IN

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.