Member of Technical Staff, Finance Data

Vercel • San Francisco, NY

4d

About The Position

Vercel is seeking an Engineer to lead the design and development of its Financial Data Platform, which supports revenue reporting, consumption-based billing, financial forecasting, and compliance. The role will define the technical vision for Vercel’s financial data ecosystem and build reliable, auditable data pipelines using technologies such as Kafka, ClickHouse, Tinybird, and Snowflake. It reports to the Senior Director of Data Engineering and partners with Finance, Accounting, Revenue Operations, Security, Compliance, Legal, Internal Audit, and data science teams. The position combines hands-on production engineering, architectural leadership, roadmap planning, and mentoring as the function grows. Financial data accuracy, governance, auditability, availability, and fault tolerance are central to the work.

The role also supports forecasting, revenue modeling, and audit readiness, and evaluates data architectures and financial and billing tooling. Compensation includes a competitive package with equity. The San Francisco base pay range is $264,000–$396,000; actual salary may vary based on job-related skills, experience, and 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.

Requirements

• At least 8 years of experience in data engineering, analytics engineering, or a closely related field.
• Track record of owning production data pipelines end-to-end.
• Experience designing and operating large-scale data infrastructures in a complex, fast-paced environment.
• Experience with Kafka and its ecosystem, such as Kafka Streams or Confluent Platform, and with ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
• Experience building data pipelines for financial reporting, revenue recognition, billing, or consumption-based pricing models.
• Proficiency in AWS, GCP, or Azure and associated big data services.
• Strong background in data governance, security, and compliance, including direct experience supporting audits, SOX, or SOC 2 requirements.
• Rigorous approach to data lineage and accuracy.
• Strong communication and collaboration skills, including translating financial and accounting requirements into technical architecture and influencing technical and non-technical stakeholders, including Finance and Audit leadership.
• Demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments.

Nice To Haves

• Familiarity with financial or ERP systems such as NetSuite or Workday, or with billing platforms.
• Industry recognition or notable contributions in data engineering, such as published works or open-source contributions.

Responsibilities

• Design and implement a financial data platform for revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads.
• Use Kafka and streaming technologies to build real-time usage and billing pipelines that feed revenue and consumption forecasts.
• Partner with FP&A, Accounting, and Revenue Operations to translate reporting, close-cycle, and forecasting requirements into technical architecture, ensuring data availability and accuracy meet reporting and audit timelines.
• Define and maintain guidelines for financial data ingestion, transformation, and storage, emphasizing auditability, lineage, and data integrity.
• Oversee data modeling, ETL, and warehousing with ClickHouse, Tinybird, and Snowflake for low-latency analytics and reliable historical reporting.
• Develop end-to-end solutions across the finance data stack and write production-grade code.
• Mentor engineers on technical craft and the rigor required when data informs financial statements.
• Partner with Security, Compliance, Legal, and Internal Audit to ensure pipelines meet SOX, SOC 2, and other regulatory requirements.
• Champion high availability, fault tolerance, auditability, monitoring, alerting, and incident response.
• Drive architectural decisions and roadmap planning that balance efficiency and scalability with financial-system correctness requirements.
• Evaluate build-versus-buy tradeoffs across financial and billing tools, including ERP, billing, and revenue platforms.
• Build infrastructure that translates raw usage into revenue and supports Finance and GTM forecasting, target-setting, and reporting.
• Collaborate with data science and FP&A on forecasting, incrementality analysis, and revenue modeling at scale.
• Evaluate and select data architectures and technologies critical to financial operations.
• Establish a multi-phase finance data platform maturity roadmap aligned with company growth and audit readiness.

Benefits

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Mentorship and attendance at events to build network and skills.
• Flexible Time Off.
• Equipment needed for the role.
• Work-from-home budget to outfit the employee’s workspace.
• Potential eligibility for a company bonus or variable pay program, depending on the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed