Remote opportunity at
VercelMember of Technical Staff, Finance Data
Vercel, the agentic infrastructure provider that helps individuals and automated agents build and launch software, is looking for an experienced engineer to guide the design and…
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About This Role
Vercel, the agentic infrastructure provider that helps individuals and automated agents build and launch software, is looking for an experienced engineer to guide the design and creation of its Financial Data Platform. Reporting directly to the Senior Director of Data Engineering, this remote position involves shaping the technical vision for financial data ecosystems, collaborating with accounting and revenue operations stakeholders, and constructing reliable data pipelines using tools such as Kafka,…
Job Description
Vercel, the agentic infrastructure provider that helps individuals and automated agents build and launch software, is looking for an experienced engineer to guide the design and creation of its Financial Data Platform.
Reporting directly to the Senior Director of Data Engineering, this remote position involves shaping the technical vision for financial data ecosystems, collaborating with accounting and revenue operations stakeholders, and constructing reliable data pipelines using tools such as Kafka, ClickHouse, Tinybird, and Snowflake. The person in this role will write production-grade code, enforce high standards for data accuracy and governance, and mentor fellow engineering team members.
The base salary range spans from USD 264,000 to 396,000 per year, supplemented by equity and benefits.
Responsibilities
- Design and implement data platforms supporting revenue recognition, consumption billing, and financial reporting across batch and real-time workloads
- Collaborate directly with financial planning and analysis, accounting, and revenue operations groups to translate reporting needs into technical architecture
- Define and maintain guidelines for financial data ingestion, transformation, and storage focusing on auditability and lineage
- Oversee data modeling, ETL processes, and warehousing via ClickHouse, Tinybird, and Snowflake
- Build end-to-end solutions across the finance data stack and mentor engineers on technical craft and rigor
- Partner with security, compliance, legal, and internal audit to meet SOX, SOC 2, and regulatory obligations
- Drive architectural choices and roadmap planning for financial and billing tooling evaluation
- Collaborate with data science and financial planning teams on forecasting, incrementality analysis, and revenue modeling
Requirements
- At least 8 years of professional background in data engineering, analytics engineering, or a related discipline
- Demonstrated experience owning production data pipelines end-to-end and operating large-scale data infrastructures
- Working familiarity with Kafka, Kafka Streams, Confluent Platform, ClickHouse, Tinybird, and Snowflake
- Experience building data pipelines connected to financial reporting, revenue recognition, billing, or consumption pricing models
- Proficiency working within cloud platforms including AWS, GCP, or Azure alongside big data services
- Strong background in data governance, security, and compliance supporting audit, SOX, or SOC 2 requirements
- Excellent communication and collaboration abilities to translate accounting requirements into technical architecture
Qualifications
- Familiarity with financial and enterprise resource planning systems such as NetSuite or Workday
- Industry recognition or notable contributions in data engineering such as published works or open-source projects
Core Skills
Benefits
- Competitive compensation package including equity
- Inclusive healthcare package
- Mentorship opportunities and event sponsorship for skill building and networking
- Flexible time off
- Work equipment provided alongside a work-from-home budget
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the source posting indicates that the role is remote.
What is the salary range for this job?
The base pay range in San Francisco, California is $264,000 to $396,000 per year, with actual pay dependent on skills, experience, and location.
How many years of experience are required?
Candidates must have 8 or more years of experience in data engineering, analytics engineering, or a closely related field.
What employment type is this role?
The posting specifies full-time employment.
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