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Sr Manager - Data Engineer

Gap Inc

Spoke - Hyderabad permanent

Posted: May 13, 2026

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Quick Summary

We are hiring a Sr Manager to lead data engineering and infrastructure optimization efforts

Job Description

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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