As Engineering Manager for the HCO team, you will lead a team of Data Engineers, designing resilient data pipelines, improving data architecture, and fostering team development in a complex engineering environment.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
This is your chance to architect the data engine that powers Veeva Link. As the Engineering Manager for the HCO (Healthcare Organization) team, you aren't just managing people; you are solving a complex data puzzle.
Our data has massive up-and-downstream dependencies across multiple products. Your challenge is to define and build resilient data pipelines that can handle this complexity while balancing local autonomy with global alignment. You will lead a high-performing team to build a scalable, modern platform using Apache Spark, Lakehouses, and AWS Redshift.
If you want to lead a team where technical architecture and people development go hand-in-hand, this is the role for you.
What You'll Do
- Lead & Grow: Manage a team of 4+ Data Engineers, fostering a culture of technical excellence
- Architect Resilience: Design data pipelines that manage complex dependencies between products, ensuring data integrity and timeliness
- Drive Strategy: Balance the need for team autonomy with the necessity of alignment across the Veeva Link product family
- Tech Excellence: Champion high standards for code and architecture using Spark and AWS
- Hiring: Own the recruiting pipeline to find and onboard top-tier engineering talent
- Hands-on Leadership: Dive into code reviews and architectural discussions to unblock your team and lead by example
Requirements
- Leadership: 3+ years of experience leading engineering teams (performance, hiring, growth)
- Tech Stack: Deep background in Data Engineering using JVM-based languages (Java, Scala, Kotlin)
- Data Architecture: Proven ability to design scalable systems involving ETL/ELT, Data Lakes, or Warehouses
- Problem Solving: Experience managing complex technical dependencies in a distributed service environment
- Communication: Excellent English skills to translate between business needs and engineering execution
Nice to Have
- Agile: Experience running efficient teams using Scrum or Kanban
- Remote: Comfort leading distributed teams across countries and cultures
- Domain: Background in Life Sciences or Healthcare data
Perks & Benefits
- Comprehensive benefits package
- Annual allocations charitable contributions
- Fitness reimbursement
- Veeva Work-Anywhere
#RemoteSpain
#LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Top Skills
Spark
Aws Redshift
Java
Kotlin
Lakehouses
Scala
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