Member of Technical Staff, Finance Data

Vercel • San Francisco, CA

9h • $264,000 - $396,000

About The Position

Vercel is hiring 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 partner with Finance, Accounting, and Revenue teams to turn business and compliance needs into scalable systems. It reports to the Senior Director of Data Engineering.

The position combines hands-on engineering, architecture, and team mentorship. The engineer will build reliable and auditable data pipelines using technologies including Kafka, ClickHouse, Tinybird, and Snowflake, and establish standards for accuracy, governance, lineage, and integrity. They will work across the finance data stack, support regulatory and audit requirements, and guide the platform's roadmap as the company grows.

The role is full-time. The San Francisco base pay range is $264,000–$396,000; compensation may vary based on skills, experience, and location. The total package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role.

Requirements

• 8+ years of experience in data engineering, analytics engineering, or a closely related field.
• A track record of owning production data pipelines end-to-end.
• Experience designing and operating large-scale data infrastructure in a complex, fast-paced environment.
• Experience with Kafka and its ecosystem, such as Kafka Streams or Confluent Platform; 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 cloud platforms such as AWS, GCP, or Azure and associated big data services.
• Strong background in data governance, security, and compliance, including direct experience supporting audit, SOX, or SOC 2 requirements.
• A rigorous approach to data lineage and accuracy.
• Strong communication and collaboration skills, including the ability to translate financial and accounting requirements into technical architecture and influence technical and non-technical stakeholders.
• Ability to collaborate with Finance and Audit leadership.
• A leadership mindset and 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 power real-time usage and billing pipelines that feed revenue and consumption forecasts.
• Partner with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, and translate them into technical architecture.
• Ensure data availability and accuracy meet financial reporting deadlines, audit cycles, and board-level reporting needs.
• Define and maintain guidelines for financial data ingestion, transformation, and storage, emphasizing auditability, lineage, and data integrity.
• Oversee data modeling, ETL, and warehousing using ClickHouse, Tinybird, and Snowflake to support low-latency analytics and reliable historical reporting.
• Develop end-to-end solutions across the finance data stack and model engineering excellence in a high-accountability domain.
• Mentor engineers in technical craft and the rigor required when data feeds financial statements.
• Partner with Security, Compliance, Legal, and Internal Audit to meet SOX, SOC 2, and other regulatory requirements.
• Promote high availability, fault tolerance, and auditability through 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 for 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.
• Evaluate and select data architectures and technologies critical to Vercel's financial operations.
• Establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness.

Benefits

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Mentorship and opportunities to attend events that build networks and skills.
• Flexible Time Off.
• Work equipment needed for the role.
• Work-from-home budget to outfit the employee's space.
• 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