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 infrastructureDrive infrastructure performance and cost optimization using Azure and/or GCP platformsManage data quality, access controls, and cataloging using tools like Unity Catalog or similarCollaborate with warehouse, supply chain, and BI teams to deliver reliable data for analytics and reportingOversee annual performance management, career development, and mentoring for team membersEnsure platform stability, scalability, and observability for 24x7 operationsSupport modernization of legacy systems into cloud-native stackAlign closely with product managers and analysts to prioritize data product deliveryContribute to finops practices, cloud usage tracking, and spend optimizationWho You Are
14+ years in data engineering or data infrastructure roles, with team management experienceDeep hands-on experience in Azure (Synapse, ADF, ADLS, Databricks) or GCP (BigQuery, Dataflow, Composer)Proven people leadership, including performance reviews, mentorship, and team developmentFamiliar with data observability, metadata management, and cataloging toolsExperience 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 monitoringFamiliarity with agile delivery methods (Scrum/Kanban)Working knowledge of data governance frameworks and access control modelsAwareness of real-time telemetry or IoT data in smart warehousingCertifications in Azure, GCP, project management, or data governance
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