Gap - Senior Manager - Data Engineering

Note : Women Candidates Preferred

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

- 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

Good to Have Skills :

- 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