• Architect, implement, and maintain scalable data lakes, lakehouses, and data warehousing strategies across GCP and OCI.
• Design resilient and low latency Extract, Transform, Load and Extract, Load, Transform pipelines to ingest, clean, and transform data from diverse transactional, operational, and business systems.
• Lead, mentor, and support a team of data engineers, analytics engineers, and database developers.
• Establish code quality standards and conduct architecture reviews to support reliable and scalable data solutions.
• Partner with application, Data Science, merchandising, and supply chain technology teams to ensure the data platform delivers clean, timely, and actionable insights.
• Support pipeline orchestration and platform operations for enterprise data environments.
• Implement automated data testing, anomaly detection, and data lineage tracking to support trust in enterprise reporting.
• Optimize database, warehouse, and query performance, including approaches such as BigQuery partitioning, BigQuery clustering, and OCI Autonomous Data Warehouse indexing.
• Enforce data governance, access control policies, row and column level security, and cataloging practices to support audits and data discovery.
• Monitor and optimize storage and compute costs associated with large scale query activity, including BigQuery slots, Serverless Dataproc, OCI Compute, and storage layers.Qualifications:• Eight or more years of experience in data engineering, data warehousing, or software engineering.