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VercelSoftware Engineer, Financial Data Platform
Vercel, an infrastructure enterprise providing solutions for human and agentic software deployment, is hiring a Software Engineer, Financial Data Platform to head up the creation of…
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About This Role
Vercel, an infrastructure enterprise providing solutions for human and agentic software deployment, is hiring a Software Engineer, Financial Data Platform to head up the creation of its financial data systems. In this full-time on-site role, the selected professional will shape the architecture powering consumption billing, revenue analytics, compliance, and forecasting. This opportunity is well-suited for a data engineering expert who thrives in high-accountability settings where precision is paramount. The incoming…
Job Description
Vercel, an infrastructure enterprise providing solutions for human and agentic software deployment, is hiring a Software Engineer, Financial Data Platform to head up the creation of its financial data systems. In this full-time on-site role, the selected professional will shape the architecture powering consumption billing, revenue analytics, compliance, and forecasting.
This opportunity is well-suited for a data engineering expert who thrives in high-accountability settings where precision is paramount. The incoming engineer will craft reliable streaming and batch pipelines, establish data governance protocols, and guide technical teams while partnering closely with accounting, finance, and revenue operations groups. Vercel's technology stack relies heavily on tools such as Kafka, ClickHouse, Tinybird, and Snowflake to handle usage data and translate it accurately into financial metrics.
The position involves bridging technical execution with financial compliance requirements, ensuring that reporting mechanisms satisfy rigorous auditing standards such as SOX and SOC 2. Candidates will enjoy a comprehensive corporate environment offering professional development resources, equity participation, medical coverage, and flexible time off policies.
Responsibilities
- Design and build a data platform handling revenue recognition, consumption billing, and financial reporting across real-time and batch workloads.
- Collaborate with financial planning, accounting, and revenue operations units to align technical architectures with reporting schedules and audit needs.
- Establish standards for data ingestion, storage, lineage, and transformation with a focus on integrity and auditability.
- Manage warehousing, modeling, and ETL processes using ClickHouse, Tinybird, and Snowflake.
- Write production code and mentor engineering colleagues on technical craft and financial accuracy.
- Partner with security, compliance, legal, and audit teams to ensure adherence to regulations like SOX and SOC 2.
- Drive architecture decisions and build-versus-buy evaluations for ERP, billing, and revenue software.
- Construct data infrastructure that converts raw user activity into revenue insights for forecasting models.
Requirements
- Minimum of 4 years of professional background in data engineering, analytics engineering, or a related discipline with end-to-end pipeline ownership.
- Demonstrated history of operating and designing large-scale data systems utilizing Kafka, ClickHouse, Tinybird, and Snowflake.
- Proficiency in cloud environments including AWS, GCP, or Azure and associated big data tools.
- Background in data security, compliance, and governance with experience supporting audits, SOX, or SOC 2.
- Strong communication abilities to bridge technical architectures with accounting and financial stakeholders.
Qualifications
- Prior background building pipelines that feed billing, consumption-based pricing, or revenue recognition models.
- Familiarity with billing platforms or enterprise resource planning systems such as Workday or NetSuite.
- Industry recognition or notable contributions in data engineering like open-source projects or published works.
Core Skills
Benefits
- Competitive compensation package with equity options
- Inclusive healthcare package
- Mentorship and events funding for skill and network building
- Flexible time off
- Necessary work gear and a work-from-home setup budget
Frequently Asked Questions
What is the employment type for this position?
This is a full-time position.
Is this a remote role?
The posting states that the position is on-site.
What is the salary range for this role?
The base pay range for San Francisco, California is $190,000 to $258,000, with actual compensation determined by skills, experience, and location. Compensation outside of San Francisco may be adjusted accordingly.
What technologies are used in the data stack?
The role utilizes modern technologies including Kafka, ClickHouse, Tinybird, and Snowflake.
How do I apply for this job?
The provided job posting does not specify application instructions.
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