Responsibilities:
• 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.
• Three or more years of experience leading engineering teams.
• Strong hands on experience with GCP data and analytics services, including BigQuery, Dataproc, cloud functions, cloud runners, Cloud Storage, and Pub and Sub.
• Experience with OCI data infrastructure, including Autonomous Data Warehouse, OCI GoldenGate, Oracle Integration Cloud, and Oracle Database Cloud Services.
• Advanced SQL and Python experience for building robust data extraction and transformation logic.
• Experience with CI/CD pipelines, including GitLab CI.
• Experience supporting business intelligence, analytics, or data science use cases.
• Strong communication and collaboration skills with the ability to work across technical and business teams.
Tools and Technologies:
• Google Cloud Platform
• Oracle Cloud Infrastructure
• BigQuery
• Dataproc
• Cloud Functions
• Cloud Storage
• Pub and Sub
• OCI Autonomous Data Warehouse
• OCI GoldenGate
• Oracle Integration Cloud
• Oracle Database Cloud Services
• SQL
• Python
• GitLab CI
• GCP Vertex AI
• Data lakes
• Lakehouses
• Data warehouses
• Data lineage tools and practices
• Data quality and observability practices
