Senior Data Engineering Leader — Hybrid/Remote Platform

Veracyte, Inc.; San Diego (CA); Hybrid; USD 199,000 - 220,000; Full time

Job summary

Veracyte, Inc. in San Diego (hybrid/remote) seeks a Senior Manager, Data Engineering to lead an engineering team building and operating enterprise data platforms.

You will balance architecture, implementation details, production operations, and team development. You will guide modern data lake and lakehouse evolution, delivering trusted data to scientific, clinical, operational, and commercial teams, partnering with data science, analytics, product, clinical, software engineering, Security, and

Qualifications

• Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience.
• 8+ years of relevant experience in data engineering, software engineering, data platforms, or related fields.
• 5+ years of people‑management experience, including responsibility for team objectives, work planning, performance management, development, and staffing decisions.
• Demonstrated experience leading a data engineering department or multiple related disciplines and delivering outcomes that affect broader functional or business priorities.
• Demonstrated experience designing, building, and operating production data pipelines and data platforms, including data lake or lakehouse architectures.
• Strong working knowledge of AWS services such as S3, Glue, Athena, Lambda, IAM, and CloudWatch, or comparable technologies.
• Hands‑on proficiency with SQL and Python, with the ability to review code, evaluate technical designs, troubleshoot production problems, and guide implementation decisions.
• Experience with ETL/ELT frameworks, orchestration tools, distributed data processing, analytical data modeling, and reusable data products or shared platform capabilities.
• Practical experience implementing data quality, automated testing, observability, lineage, security, privacy, and regulatory controls.
• Experience establishing operational objectives, policies, procedures, work plans, schedules, and resource priorities for a technical team.
• Experience managing technical debt and operational risk while continuing to deliver business and product priorities.
• Proven ability to collaborate across engineering, scientific, product, clinical, business, Security, and IT teams, including the ability to influence and build alignment in complex situations.
• Strong communication skills, including the ability to explain technical decisions, alternatives, risks, and trade-offs clearly to technical and nontechnical audiences.

Responsibilities

• Lead a team of data engineers, supporting talent planning, hiring, coaching, performance management, and career development.
• 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.
• Establish and maintain data platform standards, governance, architectural guidelines, and operational processes.
• Make pragmatic architectural decisions using AWS services (S3, Glue, Athena, Lambda, IAM, CloudWatch) and Snowflake.
• Improve CI/CD, automated testing, observability, lineage, documentation, security, privacy, and code quality.
• Partner with Analytics, Data Science, Product, Clinical, Laboratory, Software Engineering, Security, and IT to support shared goals.
• Ensure data-platform security, regulatory compliance, privacy, and quality-management requirements are addressed.
• Drive platform delivery and operational excellence to meet performance and reliability goals.
• Balance delivery priorities with operational support, platform enhancements, and vendor relationships.
• Evaluate emerging technologies and recommend adoption based on measurable improvements in maintainability, scalability, reliability, performance, security, and cost.
• Communicate decisions, risks, and trade-offs clearly to stakeholders and leaders across multiple functions.

Skills

AWS data services

SQL

Python

Data pipelines

Data lake / lakehouse

Cross‑functional leadership

Stakeholder communication

Education

Bachelor's degree in CS/engineering/data science or related field

Tools

Snowflake

ETL/ELT tooling

CI/CD tooling

Job description

Veracyte, Inc. in San Diego (hybrid/remote) seeks a Senior Manager, Data Engineering to lead an engineering team building and operating enterprise data platforms.

You will balance architecture, implementation details, production operations, and team development. You will guide modern data lake and lakehouse evolution, delivering trusted data to scientific, clinical, operational, and commercial teams, partnering with data science, analytics, product, clinical, software engineering, Security, and