Lead Data Engineer

Lead Data Engineer – Data & AI, Supply ChainLocation: Pleasanton, CA- OnsiteAbout the RoleExperienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.Required Technical Skills• 8+ years of experience in Data Engineering with demonstrated technical leadership on enterprise data projects.• Strong hands-on experience with Google Cloud Platform (GCP).• Expert-level proficiency in:o Dataproco BigQueryo SQLo dbt (Data Build Tool)• Strong understanding of modern ETL/ELT architecture and large-scale data processing.• Strong knowledge of data modeling techniques, including dimensional modeling, normalized data models, and analytical data warehouse design.• Experience building scalable and maintainable cloud-native data pipelines.• Experience with Git, CI/CD pipelines, and engineering best practices.• Strong analytical, troubleshooting, and problem-solving skills.• Excellent verbal and written communication skills with the ability to collaborate effectively across cross-functional teams.Preferred Technical Skills• Experience with Apache Airflow for workflow orchestration.• Experience integrating enterprise data platforms with Apache Kafka or other streaming technologies.• Working knowledge of PySpark for distributed data processing.• Proficiency in Python for data engineering, automation, and utility development.• Familiarity with data quality, metadata management, and data governance best practices.Domain Experience (Highly Desirable)Candidates with experience in one or more of the following areas will be strongly preferred:• Retail industry (Apparel)• Supply Chain data platforms• Transportation and Logistics• Warehouse Management Systems (WMS)• Distribution Center operations