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Vercel
Vercel
201 – 500 Employees
H1B Visa SponsorCloud ComputingSaaSWeb 3
Vercel provides developer tools and cloud infrastructure for building, deploying, and securing web applications. Its platform combines automated workflows, templates, and Git integrations with scalable infrastructure and global content delivery to help teams improve application performance. Vercel also offers observability features, privacy-friendly analytics, and enterprise security and compliance capabilities.
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Lead Finance Data Engineer

Build Vercel’s finance data platform for billing, revenue, forecasting, and compliance. Lead systems using Kafka, ClickHouse, Tinybird, and Snowflake to support accurate financial reporting.

USUnited StatesCACaliforniaNYNew York
$264,000 – $396,000 / year
HybridFull-timeLeadEnglish RequiredSoftware Engineer
AWSAzureERPETLGoogle Cloud PlatformKafka

Description

  • Build and maintain financial data platforms for revenue recognition, usage-based billing, and reporting across batch and real-time workloads.
  • Create Kafka streaming pipelines for live usage, billing, revenue, and consumption forecasts.
  • Work with FP&A, Accounting, and RevOps to turn reporting, close, and forecasting needs into technical designs.
  • Set standards for financial data ingestion, transformation, storage, auditability, lineage, and integrity.
  • Lead data modeling, ETL, and warehousing with ClickHouse, Tinybird, and Snowflake.
  • Deliver end-to-end finance data solutions and mentor engineers.
  • Coordinate with Security, Compliance, Legal, and Internal Audit on SOX, SOC 2, regulatory compliance, monitoring, alerts, and incident response.
  • Guide architecture, roadmap planning, and build-versus-buy decisions for finance and billing tools.
  • Create infrastructure that converts raw usage into revenue and supports forecasting, incrementality analysis, and revenue modeling.
  • Assess data architectures and technologies, and define a phased roadmap for maturing the finance data platform.
  • Report to the Senior Director of Data Engineering.

Requirements

  • At least 8 years of experience in data engineering, analytics engineering, or a related field.
  • A record of owning production data pipelines from design through operation.
  • Experience designing and running large-scale data infrastructure in complex, fast-paced environments.
  • Experience with Kafka and related tools, including Kafka Streams and Confluent Platform.
  • Experience with ClickHouse, Tinybird, Snowflake, and other big data frameworks.
  • Experience building data pipelines for financial reporting, revenue recognition, billing, or usage-based pricing.
  • Familiarity with financial or ERP systems such as NetSuite or Workday, or with billing platforms, is a plus.
  • Proficiency with AWS, Google Cloud Platform, or Azure and their big data services.
  • Experience supporting audit, SOX, or SOC 2 requirements.
  • Strong expertise in data governance, security, lineage, and accuracy.
  • Ability to translate finance and accounting needs into technical architecture.
  • Ability to influence technical and non-technical stakeholders, including Finance and Audit leaders.
  • Ability to mentor teams, build consensus, and promote good engineering practices.
  • Industry recognition or notable data engineering work, such as publications or open-source contributions, is a plus.

Benefits

  • Competitive compensation package with equity.
  • Inclusive healthcare package.
  • Mentorship and opportunities to attend events that build networks and skills.
  • Flexible time off.
  • Equipment needed for the role.
  • Work-from-home budget for setting up a home workspace.
  • Eligibility for a company bonus or variable pay program, depending on the role.

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