Veracyte

Director, Data Engineering

Veracyte$234K — $253K *
Pharmaceuticals & Biotech
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data engineering or related fields
  • 5+ years building large-scale data architectures
  • Expertise in designing and operating data lake architectures on AWS
  • Hands-on experience with ETL/ELT frameworks and distributed data processing
  • Strong proficiency with SQL, Python, and data modeling
  • Experience leading and mentoring engineering teams
  • Deep understanding of data governance, quality, security, and privacy

Responsibilities

  • Lead strategy and execution for data engineering in cloud-native architectures
  • Oversee data ingestion, transformation, quality, and orchestration
  • Drive architectural decisions for high-availability systems using AWS services
  • Establish and enforce data engineering best practices
  • Collaborate with cross-functional teams to deliver data products
  • Ensure platform security, compliance, and privacy
  • Manage and mentor a team of data engineers and architects
  • Evaluate emerging technologies for scalability and performance

Benefits

  • Competitive compensation and benefits
  • Career growth opportunities
  • Inclusive and diverse workforce
  • Recognition as a 2024 Certified™ Great Place to Work®
  • Dynamic, inspiring workplace culture
Full Job Description
The Position:

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. This position is based out of our San Diego office (hybrid).

Responsibilities
  • 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.
  • Establish and enforce data engineering best practices, including CI/CD, testing frameworks, observability, lineage, and documentation
  • Partner with data science, analytics, product, clinical, and software engineering teams to deliver reliable, well-modeled data products
  • Ensure platform security, compliance, and data privacy through policies, tooling, and close collaboration with Security and IT
  • Manage, grow, and mentor a team of data engineers and architects, fostering an inclusive, collaborative culture aligned with our values
  • Evaluate emerging technologies and guide modernization initiatives to improve scalability, cost efficiency, and performance
  • Collaborate with stakeholders to translate business and scientific needs into scalable and maintainable data solutions
  • Own operational excellence for all production data pipelines, including monitoring, incident response, and SLA management
Who You Are:

Required Qualifications
  • 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
  • Experience leading and mentoring engineering teams, including hiring, performance management, and career development
  • Deep understanding of data governance, data quality, security, and privacy controls
  • Proven ability to collaborate effectively with cross-functional partners in a fast-paced environment
  • Strong communication skills with the ability to translate complex technical concepts into understandable terms

Preferred Qualifications
  • Experience in biotech, life sciences, diagnostics, or other regulated data environments
  • Background working with scientific, clinical, or laboratory data pipelines
  • Familiarity with ML/AI workflows and supporting MLOps platforms
  • Experience with cost optimization strategies for large-scale AWS data systems
  • Expertise in designing reusable data products or domain-oriented architectures
  • Knowledge of metadata management, lineage tooling, and data catalog platforms

#LI-Hybrid

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Pay range

$234,000-$253,000 USD

What We Can Offer You

Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose.

About Veracyte

Veracyte is a genomic diagnostics company that uses advanced genomic technology to resolve diagnostic uncertainty and deliver actionable results that improve patient care and outcomes. The company's tests in thyroid, lung, and breast cancer, and in idiopathic pulmonary fibrosis, are becoming standard of care in helping patients avoid unnecessary invasive procedures, while resolving inconclusive results from traditional diagnostic methods. Veracyte's genomic tests are covered by Medicare and many commercial insurance plans. With Veracyte's exclusive global license to a best-in-class diagnostics instrument platform, the company is positioned to deliver its tests to patients worldwide. The company was founded in 2008 and is headquartered in South San Francisco, California.
Learn more about Veracyte
Size
761 employees
Market Cap
$1.8 billion
Industry
Net Income
-$34.9 million
Founded
2006
5 Year Trend
+27.5%
Revenue
$117.4 million
NASDAQ

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