About this role
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 operationsWhat 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