Principal Engineer responsible for designing and developing Vercel’s next-generation scalable data platform. Collaborating across teams to align product goals with data strategies while implementing advanced data systems.
Responsibilities
Architect and build a scalable data platform for batch and real-time workloads.
Design streaming and event-driven systems using Kafka and related tooling.
Implement modern lakehouse foundations, including Iceberg-based storage and governance.
Partner with engineering, product, and leadership to define data strategy and technical direction.
Establish best practices for ingestion, modeling, storage, quality, and security.
Write production-grade code and set engineering standards across the team.
Improve reliability through strong observability, monitoring, and fault tolerance.
Drive long-term architectural decisions and evaluate build-vs-buy tradeoffs.
Support analytics and ML teams by delivering high-quality data systems and tooling.
Requirements
8+ years in data engineering or data architecture, including senior/principal-level work.
Deep experience designing and operating large-scale distributed data systems.
Strong expertise with Kafka and analytics/lakehouse technologies (ClickHouse, Tinybird, Snowflake, Iceberg).
Strong cloud experience (AWS, GCP, or Azure).
Experience with data governance, reliability, and secure data operations.
Excellent communication skills and ability to influence across engineering and product teams.
Demonstrated leadership through mentorship, design ownership, or technical direction.
Benefits
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
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