Manager, Data Engineering

The Senior Manager, Data Engineering will manage an engineering team responsible for building and operating Veracyte's enterprise data platforms. This role combines people leadership with direct technical ownership and is suited for someone who can move comfortably between architecture, implementation details, production operations, and team development.

You will guide the evolution of modern data lake and lakehouse environments, delivering trusted and actionable data to scientific, clinical, operational, and commercial teams. You will partner closely with data science, analytics, product, clinical, software engineering, Security, and IT to translate business and scientific needs into secure, scalable, and maintainable solutions.

This position is based in our San Diego office with a hybrid working model or may be US remote.

• Manage and develop a team of data engineers, supporting talent planning, hiring, coaching, performance management, career development, and team effectiveness.
• Remain close enough to the technical work to guide architecture, design reviews, code quality, troubleshooting, and key implementation decisions.
• Collaborate with business and scientific stakeholders to translate requirements into platform capabilities, delivery plans, and measurable outcomes.
• Help establish and maintain data platform standards, governance practices, architectural guidelines, and operational processes.
• Make pragmatic architectural decisions using AWS services such as S3, Glue, Athena, Lambda, IAM, and CloudWatch, and related technologies such as Snowflake.
• Support continuous improvement of engineering practices for CI/CD, automated testing, observability, lineage, documentation, security, privacy, and code quality.
• Partner closely with cross-functional teams, including Analytics, Data Science, Product, Clinical, Laboratory, Software Engineering, Security, and IT, to support shared goals and initiatives.
• Ensure data-platform security, regulatory compliance, privacy, and quality-management requirements are addressed through appropriate architecture, controls, tooling, documentation, and cross-functional collaboration.
• Drive platform delivery and operational excellence, helping ensure solutions meet business needs, performance expectations, and production reliability requirements.
• Balance delivery priorities, operational support, platform enhancements, technical debt reduction, vendor relationships, and resource considerations.
• Evaluate emerging technologies and recommend adoption based on measurable improvements in maintainability, scalability, reliability, performance, security, and cost.
• Communicate technical decisions, alternatives, risks, recommendations, and trade-offs clearly to stakeholders and leaders across multiple functions, and build shared understanding in complex or sensitive situations.
• Model collaborative, inclusive leadership by engaging the right stakeholders early, seeking diverse perspectives, committing to decisions, pursuing better solutions, and maintaining high standards for quality and responsible use of company resources.

Who You Are

</ul>, <li>Experience in biotechnology, life sciences, diagnostics, healthcare, or another regulated data environment.</li>

We know that great candidates may not meet every qualification listed. If this role excites you and you believe your experience can help us advance our mission, we encourage you to apply.

For candidates based in our San Diego office, the range is $199,000- $220,000.

For candidates based in our South San Francisco office, the range is $202,000- $258,000.

For candidates that are Remote: $192,825 - $220,000

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