Hybrid opportunity at
VeracyteSr. Manager, Data Engineering
Veracyte is seeking a Sr. Manager, Data Engineering to oversee an engineering team tasked with building and maintaining enterprise data platforms. Operating as a global diagnostics…
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About This Role
Veracyte is seeking a Sr. Manager, Data Engineering to oversee an engineering team tasked with building and maintaining enterprise data platforms. Operating as a global diagnostics company, Veracyte focuses on transforming cancer care by providing clinicians with critical insights to guide patient treatment. This position suits an experienced professional who can seamlessly transition between people leadership, architectural planning, code implementation, and production operations. In this capacity, the individual will shape…
Job Description
Veracyte is seeking a Sr. Manager, Data Engineering to oversee an engineering team tasked with building and maintaining enterprise data platforms. Operating as a global diagnostics company, Veracyte focuses on transforming cancer care by providing clinicians with critical insights to guide patient treatment. This position suits an experienced professional who can seamlessly transition between people leadership, architectural planning, code implementation, and production operations.
In this capacity, the individual will shape modern data lake and lakehouse ecosystems, supplying actionable and reliable data to clinical, scientific, commercial, and operational divisions. The successful candidate will collaborate closely with cross-functional groups including data science, analytics, product, software engineering, security, and IT. This role is offered with a hybrid working model based out of the San Diego office or as a United States remote position.
Responsibilities
- Manage and develop a team of data engineers by handling talent planning, hiring, coaching, performance management, and career growth.
- Guide technical architecture, design reviews, code quality, troubleshooting, and implementation decisions.
- Partner with scientific and business stakeholders to turn requirements into platform capabilities and measurable outcomes.
- Establish and uphold data platform standards, governance rules, and operational workflows.
- Design architectural solutions utilizing AWS services such as S3, Glue, Athena, Lambda, IAM, and CloudWatch, alongside Snowflake.
- Drive continuous improvement in CI/CD, automated testing, observability, data lineage, security, privacy, and documentation.
- Ensure the data platform complies with regulatory, security, privacy, and quality management requirements.
- Balance delivery priorities, technical debt reduction, vendor relationships, and resource allocation.
Requirements
- Bachelor degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience.
- At least 8 years of relevant experience in data engineering, software engineering, or data platforms.
- At least 5 years of people management experience covering team objectives, planning, performance, and staffing.
- Demonstrated background in leading a data engineering department or related disciplines to deliver broad business impacts.
- Hands-on experience designing and operating production data pipelines and lake or lakehouse architectures.
- Working knowledge of AWS tools including S3, Glue, Athena, Lambda, IAM, and CloudWatch or comparable tech.
- Proficiency in SQL and Python for code review, technical designs, and troubleshooting.
- Experience with ETL/ELT frameworks, orchestration tools, distributed data processing, and analytical data modeling.
Qualifications
- Background in biotechnology, life sciences, diagnostics, healthcare, or regulated data fields.
- Experience operating within medical device regulations and quality management frameworks.
- Familiarity with scientific, clinical, laboratory, LIMS, or bioinformatics data.
- Exposure to machine learning and AI data workflows along with MLOps platforms.
- Experience optimizing AWS data platform performance, cost, reliability, and security.
- Knowledge of metadata management, data catalogs, and lineage systems.
- Experience managing budgets, vendor relationships, or resource planning for technical teams.
Core Skills
Benefits
- Competitive compensation package including base pay ranging from $199,000 to $220,000 per year for San Diego based candidates
- Eligibility for additional discretionary bonuses, incentives, and restricted stock units
- Career growth opportunities within a purpose-driven environment
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location or remote work policy for this role?
This position is based in the San Diego office with a hybrid working model, or it may be performed remotely from within the United States.
What is the salary range for the Sr. Manager, Data Engineering position?
For candidates based in the San Diego office, the base salary range is $199,000 to $220,000 per year. For remote candidates, the range is $192,825 to $220,000. The total compensation package may also include discretionary bonuses, incentives, and restricted stock units.
What level of experience is required?
Applicants must have at least 8 years of relevant experience in data engineering, software engineering, or data platforms, alongside a minimum of 5 years of people-management experience.
Sample Interview Questions
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