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About the Role

We are seeking a Staff level Engineer to lead the design and development of Vercel's Finance Data Platform. This foundational system powers revenue reporting, billing, forecasting, and compliance. This role offers a unique opportunity to architect data infrastructure critical for Finance, Accounting, and Revenue Operations, ensuring accurate financial reporting and scalable business growth.

Responsibilities

Design and implement a data platform supporting revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads.
Leverage Kafka and streaming technologies for real-time usage and billing pipelines feeding revenue and consumption forecasts.
Collaborate with FP&A, Accounting, and RevOps to understand reporting requirements and translate them into technical architecture.
Ensure 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, focusing on auditability, lineage, and data integrity.
Oversee data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) for low-latency analytics and reliable historical reporting.
Develop end-to-end solutions across the finance data stack, setting the standard for engineering excellence.
Mentor engineers on technical craft and the rigor required for data feeding financial statements.
Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet regulatory requirements (SOX, SOC 2).
Champion high availability, fault tolerance, and auditability through monitoring, alerting, and incident response.
Drive architectural decisions and roadmap planning balancing efficiency, scalability, and correctness.
Evaluate build-vs-buy tradeoffs for financial and billing tooling.
Build data infrastructure translating raw usage into revenue, supporting forecasting models.
Collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling.
Act as a key decision-maker for evaluating and selecting data architectures and technologies.
Establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness.

Requirements

Master's degree in Computer Science, Engineering, or a related field is preferred.
8+ years of experience in data engineering, data architecture, or related roles.
At least 2 years of experience at the Staff/Principal/Lead Engineer level.
Proven track record designing and operating large-scale data infrastructures in a complex, fast-paced environment.
Experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform).
Experience with ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
Prior experience building data pipelines for financial reporting, revenue recognition, billing, or consumption-based pricing models.
Familiarity with financial/ERP systems (e.g., NetSuite, Workday) or billing platforms is a strong plus.
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
Strong background in data governance, security, and compliance.
Direct experience supporting audit, SOX, or SOC 2 requirements.
Rigorous approach to data lineage and accuracy.
Outstanding communication and collaboration skills.
Ability to translate financial and accounting requirements into technical architecture.
Ability to influence both technical and non-technical stakeholders, including Finance and Audit leadership.
Leadership mindset with demonstrated ability to mentor teams, drive consensus, and advocate for best practices.
Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.

Skills

Kafka
Kafka Streams
Confluent Platform
ClickHouse
Tinybird
Snowflake
Big data frameworks
Cloud platforms (AWS, GCP, or Azure)
Data governance
Data security
Data compliance
SOX
SOC 2
Data lineage
Data accuracy
Communication
Collaboration
Mentoring
Architectural decision-making
Roadmap planning
Build-vs-buy analysis

Location

San Francisco, CA

Work Type

Full-time

Experience Level

Staff level
8+ years of experience
2+ years at Staff/Principal/Lead Engineer level

Education Level

Master's degree in Computer Science, Engineering, or a related field (preferred)

Salary/Compensations

$260,000 - $360,000

Benefits

Total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program.

About the Company

Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next.
Vercel shaped how the web is built for over a decade, creating products like Next.js, v0, and AI SDK.
Vercel is building the platform for the future where software is built, extended, and operated by agents.
Vercel is trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

Equal Opportunity

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.