Staff Data Platform Engineer - Finance

Vercel · Hybrid - San Francisco, New York City

In short

▸Ingeniero de plataforma de datos de finanzas líder que construye sistemas de datos críticos para facturación basada en uso y reportes financieros.
▸Trabajas día a día con equipos de finanzas, contabilidad y operaciones para traducir necesidades comerciales a arquitecturas de datos escalables y auditable.
▸Lo destacado: implicas directamente en sistemas que alimentan informes financieros de alto impacto, con requisitos de precisión absoluta y cumplimiento regulato

Fluent in English (required for collaboration across global teams)

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What they ask for

✓Experiencia comprobada en diseño de plataformas de datos financieros o de facturación basada en uso.
✓Capacidad demostrada para traducir necesidades de finanzas en arquitecturas técnicas robustas y escalables.
✓Conocimiento profundo de la correcta gestión de datos para auditorías (SOX, SOC 2) y cumplimiento regulatorio.
✓Experiencia con sistemas en tiempo real usando Kafka y tecnologías de streaming.
✓Habilidades de liderazgo técnico, mentoría y toma de decisiones arquitectónicas en entornos de alta responsabilidad.
✓Capacidad de colaborar estrechamente con equipos de seguridad, compliance y auditoría interna.

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KafkaClickHouseTinybirdSnowflakeETLData ModelingReal-time PipelinesBatch WorkloadsMonitoringAlerting

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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 like OpenAI, 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 Vercel's Finance Data Platform, the foundational system that powers revenue reporting, consumption-based billing, financial forecasting, and compliance across the business. This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for Vercel's financial data ecosystem, partner closely with Finance, Accounting, and Revenue leadership to translate business and compliance requirements into scalable systems, and build reliable, auditable pipelines using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting the bar for data accuracy and governance in a domain where correctness isn't optional, and mentoring a team of engineers as the function grows. If you're excited by the challenge of building financial-grade data systems that the business trusts for reporting, forecasting, and audit, we'd love to hear from you. What You Will Do • Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts. • Work directly with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, translating them into technical architecture and ensuring data availability and accuracy align with financial reporting deadlines, audit cycles, and board-level reporting needs. • Define and maintain guidelines for financial data ingestion, transformation, and storage, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting. • Develop end-to-end solutions across the finance data stack, setting the example for engineering excellence in a high-accountability domain, and mentor engineers on both technical craft and the added rigor required when data feeds directly into financial statements. • Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response. • Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements o

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