veracyte
Director, Data Engineering
At a Glance
- Location
- San Diego, California, United States
- Work Regime
- hybrid
- Experience
- 10+ years
- Posted
- 2026-03-25T02:07:22-04:00
Key Requirements
Required Skills
Domain Knowledge
- Biotech
- Clinical
- Education
- Engineering
Requirements
10+ years of experience in data engineering or related fields, including 5+ years building large-scale data architectures
Demonstrated expertise designing and operating data lake and lake house architectures on AWS
Hands-on experience with modern ETL/ELT frameworks, distributed data processing, and orchestration tools
Strong proficiency with SQL, Python, and data modeling for analytical and operational workloads
Deep understanding of data governance, data quality, security, and privacy controls
Experience in biotech, life sciences, diagnostics, or other regulated data environments
Responsibilities
The Director of Data Engineering will lead the design, development, and evolution of our enterprise data platforms to empower scientific, clinical, operational, and commercial teams with trusted, actionable data.
This role will oversee the architecture and engineering of modern data lake and lake house environments on AWS, ensuring scalable, secure, reliable, and efficient data solutions that support Veracyte’s mission.
You will partner cross-functionally to shape the future of our data ecosystem while developing and mentoring a high-performing engineering team.
Lead the strategy, roadmap, and execution for data engineering across cloud-native data lake and lake house architectures on AWS
Oversee ingestion, transformation, quality, governance, and orchestration pipelines supporting analytics, ML, bioinformatics, and operational workloads
Drive architectural decisions for scalable, high‑availability systems using AWS services such as S3, Glue, Athena, Lambda, and related technologies like Snowflake.