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Rackspace

Azure DataOps Lead

Hybrid Data
Added
1 day ago
Location
Type
Full time
Salary
Not Specified

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Related skills

azure azure devops azure data factory azure databricks azure synapse analytics

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.

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.

    •

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