[Only 24h Left] Azure DataOps Lead

Job Description Department: Managed Services - DataOpsLocation: Remote (India)Reports To: Data Engineering Manager - DataOps 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.