11 дней назад
Software Engineer, Financial Data Platform
190 000 - 258 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Financial Data Platform (Kafka/ClickHouse/Tinybird/Snowflake): Building Vercel’s financial data infrastructure for revenue recognition, consumption-based billing, forecasting, and reporting with an accent on real-time pipelines, data governance, and auditability. Focus on designing scalable finance data architectures, ensuring correctness and regulatory compliance, and mentoring engineers as the platform grows.
Location: New York City or San Francisco, United States
Salary: $190,000–$258,000 annual base pay in San Francisco; compensation may be adjusted based on employee location.
Company
Vercel builds agentic infrastructure and developer products including Next.js, v0, and AI SDK.
What you will do
- Design and develop the Finance Data Platform supporting revenue recognition, consumption-based billing, financial reporting, forecasting, and real-time usage pipelines.
- Translate Finance, Accounting, FP&A, and Revenue Operations requirements into scalable technical architecture aligned with reporting deadlines and audit cycles.
- Define standards for financial data ingestion, transformation, storage, modeling, lineage, governance, and integrity across ClickHouse, Tinybird, Snowflake, and related systems.
- Build reliable, low-latency data solutions and establish monitoring, alerting, incident response, high availability, and fault tolerance.
- Partner with Security, Compliance, Legal, and Internal Audit to support SOX, SOC 2, and other regulatory requirements.
- Drive architecture and roadmap decisions, evaluate financial and billing tooling, and mentor engineers as the function grows.
Requirements
- 4+ years of experience in data engineering, analytics engineering, or a closely related field, with ownership of production data pipelines.
- Experience designing and operating large-scale data infrastructure using Kafka and its ecosystem, ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
- Experience building pipelines for financial reporting, revenue recognition, billing, or consumption-based pricing.
- Proficiency with AWS, GCP, or Azure and associated big data services.
- Strong data governance, security, compliance, audit, SOX, SOC 2, lineage, and data accuracy experience.
- Strong communication, architecture, consensus-building, and engineering mentorship skills.
Nice to have
- Experience with NetSuite, Workday, ERP systems, or billing platforms.
- Industry recognition or notable contributions to data engineering, including publications or open-source work.
Culture & Benefits
- Work on financial-grade data systems supporting company-wide reporting, forecasting, billing, and audit readiness.
- Collaborate with Finance, Accounting, Revenue Operations, Security, Compliance, Legal, Internal Audit, and Data Science.
- Total compensation may include benefits, equity-based compensation, and company bonus or variable pay eligibility.
- Inclusive workplace committed to equal opportunity and non-discrimination.
Hiring process
- Applicants explain why they are a good fit for the role.
- Recruiters provide further compensation details during the hiring process.
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