# Staff Data Platform Engineer - Finance

**Company:** [Vercel](https://hotfix.jobs/companies/vercel)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Engineering
**Salary:** $260k – $360k/yr
**Experience:** 8+ years
**Skills:** Kafka, Kafka Streams, Confluent Platform, ClickHouse, Tinybird, Snowflake, AWS, GCP, Azure, Data Governance, Data Lineage, Sox, SOC 2, NetSuite, Workday
**Posted:** 2026-08-28

> Staff Data Platform Engineer leading the architecture and development of financial data infrastructure for revenue reporting, billing, forecasting, and compliance. Requires 8+ years of data engineering or architecture experience, strong streaming and warehouse expertise, and the ability to mentor engineers and partner with Finance and Audit leaders.

## Job Description

## Responsibilities
- Design and implement batch and real-time data infrastructure for revenue recognition, consumption-based billing, financial reporting, forecasting, and usage pipelines.
- Partner with FP&A, Accounting, Revenue Operations, Security, Compliance, Legal, and Internal Audit to translate reporting, compliance, and close-cycle requirements into scalable architecture.
- Define standards for financial data ingestion, transformation, storage, modeling, ETL, governance, lineage, auditability, and integrity.
- Build and operate finance data solutions using Kafka, ClickHouse, Tinybird, Snowflake, and related technologies.
- Establish monitoring, alerting, incident response, high availability, and fault tolerance for financial data pipelines.
- Lead architectural decisions, roadmap planning, technology evaluations, and build-versus-buy decisions across ERP, billing, and revenue platforms.
- Support forecasting, incrementality analysis, and revenue modeling with Finance, FP&A, GTM, and data science teams.
- Mentor engineers and promote engineering excellence and financial-data rigor.

## Requirements
- 8+ years of experience in data engineering, data architecture, or related roles.
- At least 2 years at the Staff, Principal, or Lead Engineer level.
- Experience designing and operating large-scale data infrastructure.
- Experience with Kafka and its ecosystem, ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
- Experience building pipelines for financial reporting, revenue recognition, billing, or consumption-based pricing.
- Proficiency with AWS, Google Cloud, or Azure and associated big data services.
- Strong background in data governance, security, compliance, data lineage, and accuracy.
- Experience supporting audits, SOX, or SOC 2 requirements.
- Strong communication, collaboration, mentoring, and technical leadership skills.

## Nice to Have
- Master's degree in Computer Science, Engineering, or a related field.
- Familiarity with NetSuite, Workday, or billing platforms.
- Industry recognition or notable data engineering contributions, including publications or open-source work.

## Compensation
- San Francisco base pay range: $260,000–$360,000 annually.
- Compensation may be adjusted based on employee location outside San Francisco.
- Total compensation may include benefits, equity compensation, and bonus or variable pay.

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