Lead Data Engineer
Listed on 2026-08-04
-
IT/Tech
Data Engineering, Data Warehousing
Lead Data Engineer – Data & AI, Supply Chain
Location:
Pleasanton, CA
- Onsite
Experienced 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:
- Big Query
- SQL
- 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.
- 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.
Candidates with experience in one or more of the following areas will be strongly preferred:
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