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About the RoleWe 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
- 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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