We're looking for a Data Platform Engineer to join our Data Engineering team and help build the infrastructure that powers data across Vercel. This isn't a reporting or pipelines-for-a-dashboard role. You'll work on the platform itself: the streaming systems, storage layers, and tooling that other engineers, analysts, and data scientists build on top of
You'll help build and operate core platform components using technologies like Kafka, ClickHouse, Tinybird, and Snowflake, and get exposure to real infrastructure problems: throughput, latency, schema evolution, fault tolerance, and designing systems that stay reliable as usage scales
If you're excited to build the plumbing the rest of the data org depends on, and want to learn from senior engineers doing it at scale, we'd love to hear from you
Contribute to the systems that ingest, move, and serve data across Vercel, building reusable infrastructure other teams rely on rather than one-off pipelines
Work with Kafka and streaming tooling to support real-time data movement, under the guidance of senior platform engineers
Help build monitoring, alerting, and observability so issues get caught before they become outages
Contribute to internal tools and abstractions that make the platform easier for other engineers and data consumers to use self-service, working across ClickHouse, Tinybird, and Snowflake as part of the platform's storage and query layer
Develop platform features and fixes with growing independence, treating feedback from code review as a core part of your growth
Help implement access controls, data protection, and compliance practices across the platform, in partnership with senior engineers
Get exposure to how the team makes architecture and build-vs-buy decisions at the platform level, and how this infrastructure underpins analytics and AI/ML workloads across the company