Staff Data Platform Engineer
About The Position
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. We are looking for a Principal Engineer to lead the architecture and development of Vercel's next-generation Data Platform. You will design the systems that power data across our products and internal teams, enabling real-time analytics, observability, and future AI/ML capabilities. This role combines hands-on engineering with technical leadership. You will set the vision for our data ecosystem, build scalable distributed systems using technologies like Kafka, ClickHouse, Tinybird, and Snowflake, and work across the company to align data strategy with product and engineering goals.
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.
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.
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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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
