Sr. Manager, Data Engineering

Bazeta; San Diego (CA); Híbrido; USD 170.000 - 210.000; Jornada completa

Descripción de la vacante

Veracyte, a cancer care company, seeks a Senior Manager of Data Engineering to lead a high-performing team, shape architecture, and deliver scalable data platforms. You will work with analytics, science, product, and security stakeholders to translate complex needs into trusted data capabilities.

You will guide production pipelines, implement governance, and drive platform delivery with a strong emphasis on reliability, security, and cost efficiency.

Formación

• Bachelor’s degree in computer science, engineering, data science, information systems, or related field, or equivalent experience.
• 8+ years in data engineering, software engineering, data platforms, or related fields.
• 5+ years of people-management experience managing teams and objectives.
• Experience leading a data engineering department or multiple disciplines for outcomes.
• Experience designing and operating production data pipelines and lakehouse architectures.
• Strong knowledge of AWS services (S3, Glue, Athena, Lambda, IAM, CloudWatch).
• Proficiency in SQL and Python; able to review code and guide designs.
• Experience with ETL/ELT, orchestration tools, distributed processing, and data quality controls.
• Experience establishing operational policies, schedules, and resource priorities.
• Experience managing technical debt and regulatory compliance.

Responsabilidades

• Manage and develop a team of data engineers, including hiring and coaching.
• Guide architecture, code quality, troubleshooting, and key implementation decisions.
• Collaborate with stakeholders to translate requirements into platform capabilities and plans.
• Establish and maintain data platform standards, governance, and operational processes.
• Make architectural decisions using AWS services and Snowflake.
• Improve CI/CD, observability, lineage, security, and privacy practices.
• Coordinate with Analytics, Data Science, Product, IT, and Security teams.
• Ensure security, privacy, and regulatory controls across data platforms.

Conocimientos

Data engineering

Leadership

AWS S3/Glue

Python

SQL

Data pipelines

Data lakehouse

ETL/ELT

CI/CD

Educación

Bachelor’s degree in CS/Engineering

Advanced degree (preferred)

Herramientas

Snowflake

Airflow

Lambda

IAM

CloudWatch

Descripción del empleo

# Sr. Manager, Data EngineeringUnited States8 hours agoID 4039757Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: VeracyteLevel: Senior## DescriptionAt Veracyte , we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: • We Seek A Better Way : We pursue bold ideas, embrace complexity, and keep pushing forward. • We Make It Happen : We act with urgency, deliver with excellence, and always find a way. • We Are Stronger Together : We engage with empathy, align around what's best for Veracyte, and celebrate as one team. • We Care Deeply : We show up with integrity, kindness, and respect for one another. The Position 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 Required 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.... 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