Lead, Financial Data Platform (Equity, Flexible Time Off)

Vercel; San Francisco, New York (CA, NY); Híbrido; USD 264.000 - 396.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Healthcare package

Mentorship program

Flexible time off

WFH budget

Descripción de la vacante

Vercel Inc. is seeking an experienced Engineer to design and lead the development of its Financial Data Platform.

You will architect data pipelines for revenue recognition, usage-based billing, forecasting, and compliance, partnering with Finance, Accounting, and RevOps to meet strict reporting deadlines. You will mentor engineers, own data governance, and drive technical vision across batch and real-time workloads using Kafka, ClickHouse, Tinybird, and Snowflake.

Formación

• 8+ years of experience in data engineering, analytics engineering, or a closely related field.
• Experience designing and operating large-scale data infrastructures with Kafka, ClickHouse, Snowflake.
• Familiarity with financial/ERP systems and billing platforms is a strong plus.
• Strong governance, security, and data lineage practices for auditable data pipelines.

Responsabilidades

• Design and implement a financial data platform supporting revenue recognition, billing, and reporting across batch and real-time workloads.
• Collaborate with FP&A, Accounting, and RevOps to translate requirements into scalable architecture with audit-ready data.
• Oversee data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) for low-latency analytics.
• Mentor engineers and ensure high availability, fault tolerance, and compliance (SOX, SOC 2).
• Evaluate build-vs-buy choices for ERP, billing, and revenue tools.

Conocimientos

Data engineering

Analytics engineering

Kafka

ClickHouse

Tinybird

Snowflake

ERP familiarity

Herramientas

Kafka Streams

Confluent Platform

NetSuite

Workday

AWS

GCP

Azure

Descripción del empleo

Vercel Inc. is seeking an experienced Engineer to design and lead the development of its Financial Data Platform.

You will architect data pipelines for revenue recognition, usage-based billing, forecasting, and compliance, partnering with Finance, Accounting, and RevOps to meet strict reporting deadlines. You will mentor engineers, own data governance, and drive technical vision across batch and real-time workloads using Kafka, ClickHouse, Tinybird, and Snowflake.