Job Description
Job Title: Azure DataOps Lead
Department: Managed Services – DataOps Location: Remote (India) Reports To: Data Engineering Manager – DataOps
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.
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.
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.
Responsibilities
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.
Requirements
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.
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