Engineering Manager - Link Key Accounts
LisbonRemoteFull-time
AI Summary
Engineering Manager for the Link Key Accounts team responsible for designing and maintaining robust data pipelines and leading a distributed team of data engineers.
About this role
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 $3B 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 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.
What You'll Do
Requirements
Nice to Have
Perks & Benefits
Skills
AirflowApache SparkArchitecture DesignAWSCode ReviewsData ArchitectureData GovernanceData LakesData WarehousingDistributed SystemsELTETLETL/ELT ToolingJavaLakehousePipelinesPythonRedshiftScalaScrum Or KanbanSQL
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