Vercel is hiring a Software Engineer - Data Platform in New York or California. Expect a hybrid setup: this is full-time work with regular office days. Vercel lists pay of $232,000 to $348,000 a year.
Here is the role as Vercel describes it.
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role
We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives.
Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.
You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you.
What You Will Do
Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing.
Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability.
Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage.
Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team.
Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices.
Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate.
Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads.
Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity.
About You
8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level.
Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information.
Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels.
A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization.
A Master's degree in Computer Science, Engineering, or a related field is preferred.
Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.
Compensation & 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.
The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy: Please review our J ob Applicant Privacy Policy for more information on how we handle your data.
Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Questions about this job
What is the salary for the Software Engineer - Data Platform role at Vercel?
Vercel advertises $232,000 to $348,000 a year for this role.
Is the Software Engineer - Data Platform position remote?
It is hybrid. You would work partly from home and partly from the office in New York or California.
What experience do I need for this Software Engineer - Data Platform job?
The posting mentions at least 8 years of relevant experience, a master's degree or equivalent and skills such as AWS, Azure, GCP and Kafka. Read the full description above for the complete list.
Where do I send my application to Vercel?
Use the apply button on this page. It takes you to Vercel's own application form, so your CV goes directly to their hiring team.
When was this job posted?
Vercel published the role on September 16, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Vercel careers page (job-boards.greenhouse.io). Applications go straight to the employer. We check the listing daily and remove it once it closes.
Required Skills
AWSAzureGCPKafkaSnowflakeMachine Learning
π’ About Vercel
Vercel publishes its open roles on its own careers board. This page collects the Vercel jobs that are live right now. Each listing links to Vercel's application form, and we remove a listing once the employer closes it.
