Software Engineer, Financial Data Platform

Vercel Inc.; San Francisco; Presencial; COP 628.556.000 - 853.513.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Healthcare package

Mentorship & events

Flexible time off

WFH budget

Descripción de la vacante

Vercel Inc. is seeking an Engineer to lead the design and development of a Finance Data Platform, powering revenue reporting, billing, forecasting, and compliance. You will define technical vision, partner with Finance and RevOps, and build auditable pipelines using Kafka, ClickHouse, Tinybird, and Snowflake.

The role requires strong leadership, production-grade coding, and mentoring a growing team to meet strict accuracy and governance standards.

Formación

• Own production data pipelines end-to-end with strong data governance.
• Experience designing financial data infrastructures in fast-paced environments.
• Familiarity with ERP/finance systems and regulatory requirements is a plus.

Responsabilidades

• Design and implement a data platform for revenue recognition and financial reporting.
• Translate business requirements into scalable technical architecture with auditability.
• Lead end-to-end data pipelines feeding forecasting and analytics.
• Mentor engineers and drive engineering excellence in a high-accountability domain.
• Partner with Security, Compliance, Legal, and Internal Audit to meet SOX, SOC 2, and regulatory requirements and ensure high availability and auditability.
• Drive architectural decisions and roadmap planning balancing efficiency, scalability, and correctness in financial systems.
• Build data infrastructure translating raw usage into revenue and collaborate with data science and FP&A on forecasting at scale.
• Act as a key decision-maker for data architectures and establish a multi-phase roadmap for finance data maturity.

Conocimientos

Data engineering

Leadership

Mentoring

Stakeholder collaboration

Communication

SOX/SOC2 knowledge

Herramientas

Kafka

ClickHouse

Snowflake

Tinybird

Confluent Platform

Descripción del empleo

About Vercel:

Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.

Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

About the Role

We're looking for an Engineer to lead the design and development of Vercel's Finance Data Platform, the foundational system that powers revenue reporting, consumption-based billing, financial forecasting, and compliance across the business. This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business.

Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for Vercel's financial data ecosystem, partner closely with Finance, Accounting, and Revenue leadership to translate business and compliance requirements into scalable systems, and build reliable, auditable pipelines using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.

You'll lead from the front, writing production-grade code, setting the bar for data accuracy and governance in a domain where correctness isn't optional, and mentoring a team of engineers as the function grows. If you're excited by the challenge of building financial-grade data systems that the business trusts for reporting, forecasting, and audit, we'd love to hear from you.

What You Will Do

• Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts.
• Work directly with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, translating them into technical architecture and ensuring 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, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting.
• Develop end-to-end solutions across the finance data stack, setting the example for engineering excellence in a high-accountability domain, and mentor engineers on both technical craft and the added rigor required when data feeds directly into financial statements.
• Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response.
• Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements of financial systems, and evaluate build-vs-buy tradeoffs across financial and billing tooling (e.g., ERP, billing, and revenue platforms).
• Build the data infrastructure that translates raw usage into revenue, supporting the forecasting models Finance and GTM rely on for target-setting and reporting, and collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling at scale.
• Act as a key decision-maker for evaluating and selecting data architectures and technologies critical to Vercel's financial operations, and establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness.

About You

• 4+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end.
• Proven track record designing and operating large-scale data infrastructures in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
• Prior experience building data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing models, with familiarity with financial/ERP systems (e.g., NetSuite, Workday) or billing platforms considered a strong plus.
• Proficiency in cloud platforms (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, and a rigorous approach to data lineage and accuracy.
• Outstanding communication and collaboration skills, with the ability to translate financial and accounting requirements into technical architecture and influence both technical and non-technical stakeholders, including Finance and Audit leadership.
• A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments.
• Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.

Compensation & Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $190,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee 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.

Disclosures:

• Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data.
• 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.