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Staff Data Platform Engineer - Finance

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Staff Data Platform Engineer - Finance in USA

  • San Francisco, CA

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.

Salary: $260k - $360k/yr

Vercel

Vercel is a cloud platform that offers developers the infrastructure and tools needed to create, scale, and secure faster, more personalized websites. It empowers developers to build dynamic user experiences on the web.

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