Engineering Manager - Link Key Accounts

 

 

 

 

This is your chance to architect the data engine that powers Veeva Link. As the Engineering Manager for the Link Key Accounts team, you aren't just managing people; you are solving a complex data puzzle.

 

Our data has massive up-and-downstream dependencies across the Link Key Accounts product. 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.

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

Leadership: 3+ years of experience leading engineering teams (performance, hiring, growth)

Tech Stack: Deep background in Data Engineering using Spark and AWS Ecoystem

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

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

AI Pipelines: Experience architecting full-lifecycle AI workflows from ETL through to model deployment

Comprehensive benefits package

Annual allocations charitable contributions

Fitness reimbursement

Veeva Work-Anywhere