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.
As a Member of Technical Staff, Finance Data, youβll lead the design of the Financial Data Platform that Finance, Accounting, and Revenue Operations rely on to close the books, report revenue, and forecast. Youβll build auditable pipelines on Kafka, ClickHouse, Tinybird, and Snowflake that turn raw usage into revenue, and set the bar for data accuracy and governance where correctness isnβt optional. Your main focus is a multi-phase roadmap that takes the platform to maturity and audit readiness as the business grows. This is a hybrid role with 3 in-office days per week in San Francisco or New York City.
The San Francisco, CA base pay range for this role is $264,000 - $396,000. 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.
As a Senior Data Engineer, you will design and maintain scalable data pipelines and infrastructure, ensuring data governance and collaborating with cross-functional teams to drive impactful solutions.
Own the end-to-end data platform, building reliable pipelines and governed lakehouse and warehouse layers that provide trusted, secure data for analytics, finance, product, and AI teams.
Build and own Stuutβs data foundation, from pipelines and canonical models to analytics and observability, turning complex financial data into trusted insights that support product decisions and AI features.
Concevez et mettez en Εuvre des plateformes data pour des clients du secteur des transports, de lβingestion et la transformation des donnΓ©es jusquβΓ leur exposition, leur supervision et leur valorisation.
Design and optimize cloud data lakehouse architectures and enterprise data models, lead customer onboarding initiatives, improve infrastructure efficiency, and mentor data engineering colleagues.
