Azure Support Lead

Essential Functions/Responsibilities:

• Operational Leadership: Lead and mentor a team of offshore engineers supporting DNA production, QA batch jobs, and applications. Ensure seamless operations across shifts and act as the primary escalation point for critical issues.
• Production Support & Incident Management: Troubleshoot and resolve complex production issues related to data, systems, and applications. Drive root cause analysis and implement long-term solutions to prevent recurrence.
• System Monitoring & Performance Optimization: Monitor job schedules, application performance, and system health using enterprise tools. Proactively identify and resolve performance bottlenecks.
• Environment Management: Administer and maintain EIM environments across Azure and BI platforms. Lead environment refreshes, cutovers, and release activities for major and minor deployments.
• Documentation & Knowledge Sharing: Develop and maintain comprehensive support documentation. Provide training and guidance to team members to foster knowledge growth and operational maturity.
• Continuous Improvement: Identify opportunities to enhance system reliability, automate manual processes, and improve support efficiency. Champion best practices in production support and DevOps.
• Stakeholder Collaboration: Collaborate with cross-functional teams, including development, QA, and business stakeholders. Work with Microsoft support to resolve Azure-related issues.
  

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in application development, production support, and system administration.
• Proven experience leading technical teams in a high-availability, enterprise-scale environment.
• Strong understanding of incident, change, and problem management processes.
• Expertise in SQL (including performance tuning), PowerShell scripting, and Python.
• Hands-on experience with the Azure platform including Databricks, Azure Data Factory, Azure Data Lake, and Azure SQL Data Warehouse
• Familiarity with SAP BW, HANA, Data Services, and enterprise BI tools (Cognos, Power BI, Azure Analysis Services).
• Experience with job schedulers such as Autosys or Tidal.
• Working knowledge of Git and CI/CD practices.
• Strong analytical, troubleshooting, and decision-making skills.
• Excellent communication and stakeholder management abilities.