Member of the Technical Staff – Data Platform

Webhosting; Northern, New York (KY, NY); Hybrid; USD 232,000 - 348,000; Full time

Job summary

Vercel is seeking a Staff level Engineer to lead the design and development of a next-generation Data Platform powering real-time analytics and AI initiatives. This role reports to the Senior Director of Data Engineering and will architect scalable systems across the data stack.

You will mentor a team of engineers, collaborate with product, security, and data science teams, and define the technical vision to drive data governance and high availability at scale.

Qualifications

• Experience designing large-scale data platforms with real-time and batch processing.
• Proven ability to align data strategy with product goals.
• Experience with data ingestion, ETL and data warehousing.

Responsibilities

• Design and implement a next-gen data platform supporting batch and real-time data.
• Collaborate with cross-functional teams to align data strategy with product goals.
• Establish data ingestion, enrichment, and storage guidelines.
• Mentor engineers and promote engineering excellence.
• Ensure high availability, monitoring and incident response.

Skills

Kafka

ClickHouse

Snowflake

Tinybird

ETL

Data governance

Mentoring

Real-time analytics

Tools

Monitoring tools

Incident response tooling

Job description

Member of the Technical Staff - Data Platform

Vercel ·United States, Office - New York City / Office - San Francisco

Remote Full-time Senior Data

Job Description

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies likeOpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

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.

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.

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.