
Staff Data Platform Engineer
Vercel
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $196,000 - $294,000 per year
Job Level
Lead
Tech Stack
AWSAzureCloudGoogle Cloud PlatformKafka
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architecturedistributed data systemsstreaming systemsevent-driven systemsdata governancedata modelingdata storagedata qualitydata security
Soft skills
communicationinfluenceleadershipmentorshipdesign ownershiptechnical direction