Position Details
About this role
This role involves architecting and leading data engineering efforts to build resilient, scalable data pipelines and platforms for Veeva's life sciences data products.
Key Responsibilities
- Lead & Grow Data Engineering Team
- Architect Resilient Data Pipelines
- Drive Data Strategy
- Ensure Data Integrity & Timeliness
- Collaborate on Data Platform Design
Technical Overview
Focus on data pipeline architecture using Apache Spark, Lakehouses, AWS Redshift, and JVM languages, with responsibilities including design, implementation, and team leadership.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years of experience leading engineering teams, strong expertise in JVM-based data tools, and a proven ability to design scalable data pipelines and architectures using Spark and AWS services.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of leadership experience in data engineering, No experience with JVM-based languages, Inability to communicate effectively in English
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