Sr Manager- Data Engineering & BI reporting job opportunity at Gap Inc..

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DateMore Than 30 Days Ago bot
Gap Inc. Sr Manager- Data Engineering & BI reporting
Experience: 14-years
Pattern: full-time
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loacation Spoke - Hyderabad, India
loacation Spoke - Hydera..........India

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

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