4 hours ago
Base Salary
$260k - $360k/yr
Responsibilities
- Design and implement batch and real-time finance data infrastructure supporting revenue recognition, consumption-based billing, financial reporting, usage pipelines, and forecasting.
- Partner with FP&A, Accounting, RevOps, Finance, Audit, Security, Compliance, and Legal to translate reporting, close-cycle, forecasting, audit, and regulatory requirements into technical architecture.
- Define standards for financial data ingestion, transformation, storage, modeling, ETL, lineage, auditability, governance, and data integrity.
- Build end-to-end production data solutions using Kafka, ClickHouse, Tinybird, Snowflake, and related data technologies.
- Mentor engineers and establish engineering practices appropriate for systems that feed financial statements and board-level reporting.
- Ensure financial pipelines meet SOX, SOC 2, and other regulatory requirements through monitoring, alerting, fault tolerance, high availability, and incident response.
- Drive architecture decisions, roadmap planning, and build-versus-buy evaluations across ERP, billing, and revenue platforms.
- Support forecasting models, incrementality analysis, revenue modeling, and finance and go-to-market target-setting at scale.
- Establish a multi-phase roadmap for finance data platform maturity, scalability, and audit readiness.
Requirements
- 8+ years of experience in data engineering, data architecture, or related roles.
- At least 2 years of experience at the Staff, Principal, or Lead Engineer level.
- Demonstrated experience designing and operating large-scale data infrastructure in complex, fast-paced environments.
- Experience with Kafka and its ecosystem, including Kafka Streams or Confluent Platform, as well as ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
- Experience building data pipelines for financial reporting, revenue recognition, billing, or consumption-based pricing models.
- Proficiency with at least one major cloud platform: AWS, GCP, or Azure.
- Strong data governance, security, compliance, audit, SOX, SOC 2, lineage, and data accuracy experience.
- Ability to translate finance and accounting requirements into technical architecture and influence technical and non-technical stakeholders.
- Demonstrated ability to mentor teams, drive consensus, and advocate for best practices.
- Experience with financial or ERP systems such as NetSuite or Workday is a strong plus.
- A Master’s degree in Computer Science, Engineering, or a related field is preferred.
- Industry recognition or notable data engineering contributions, including published work or open-source contributions, are a plus.
Benefits
- San Francisco, California base pay range of $260,000–$360,000.
- Total compensation may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program.
- Compensation may be adjusted based on employee location outside San Francisco.
- Inclusive workplace with equal opportunity and encouragement for qualified applicants who do not meet every listed criterion.
Tech Stack
Categories
Data Engineering
About Vercel
Vercel is the platform where humans and AI agents build, ship, and scale software together. Trusted by OpenAI, Meta, Ramp, and Supreme, we free the world to ship what's next.