Sr. Manager, Data Engineering

Job description

At 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 usin…