Member of the Technical Staff - Data Platform @Vercel
Data and Analytics
Salary usd 232,000 - 3..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2d ago

[Hiring] Member of the Technical Staff - Data Platform @Vercel

2d ago - Vercel is hiring a remote Member of the Technical Staff - Data Platform. πŸ’Έ Salary: usd 232,000 - 348,000 per year πŸ“Location: USA

Role Description

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.
  • Leverage 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.
  • Align technical strategies with product goals and ensure seamless data availability and usability.
  • Define and maintain guidelines for data ingestion, creation, enrichment, and storage.
  • Oversee 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.
  • 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.
  • 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.
  • 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.
  • Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success.
  • Establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity.

Qualifications

  • 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.
  • 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, 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.

Benefits

  • 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.

Company Description

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.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

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.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Member of the Technical Staff - Data Platform @Vercel
Data and Analytics
Salary usd 232,000 - 3..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2d ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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