Sr Manager- Data Engineering & BI reporting

Gap

Gap

Data Science
Hyderabad, Telangana, India
Posted on Apr 30, 2025

About the Role

We are hiring a Senior Manager to lead data engineering and infrastructure optimization efforts focused on retail warehousing systems, cloud platforms (Azure/GCP), and business analytics. This role blends deep technical knowledge with strong people leadership, platform strategy, and an understanding of reporting needs across operations.

What You'll Do

  • Lead data engineering teams responsible for building and maintaining cloud-based data pipelines and infrastructure
  • Drive infrastructure performance and cost optimization using Azure and/or GCP platforms
  • Manage data quality, access controls, and cataloging using tools like Unity Catalog or similar
  • Collaborate with warehouse, supply chain, and BI teams to deliver reliable data for analytics and reporting
  • Oversee annual performance management, career development, and mentoring for team members
  • Ensure platform stability, scalability, and observability for 24x7 operations
  • Support modernization of legacy systems into cloud-native stack
  • Align closely with product managers and analysts to prioritize data product delivery
  • Contribute to finops practices, cloud usage tracking, and spend optimization

Who You Are

  • 14+ years in data engineering or data infrastructure roles, with team management experience
  • Deep hands-on experience in Azure (Synapse, ADF, ADLS, Databricks) or GCP (BigQuery, Dataflow, Composer)
  • Proven people leadership, including performance reviews, mentorship, and team development
  • Familiar with data observability, metadata management, and cataloging tools
  • Experience supporting business users with BI and reporting needs (Power BI, Looker, etc.)

    Good-to-Have Skills:

  • Exposure to FinOps tools or practices for cloud spend monitoring
  • Familiarity with agile delivery methods (Scrum/Kanban)
  • Working knowledge of data governance frameworks and access control models
  • Awareness of real-time telemetry or IoT data in smart warehousing
  • Certifications in Azure, GCP, project management, or data governance