Sr Manager - Data Engineer job opportunity at Gap Inc..

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DateMore Than 30 Days Ago bot
Gap Inc. Sr Manager - Data Engineer
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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