Azure DataOps Lead

Department : Managed Services - DataOps Location : Remote (India) Reports To : Data Engineering Manager - DataOps

The Azure DataOpsLeadwill 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.

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

Preferred Qualifications

Soft Skills

Skills Required

Incident Management, Azure Synapse Analytics, ARM Templates, Powershell, Azure Databricks, Python, rbac, Azure Devops