VercelHiring

Member of Technical Staff, Finance Data

  • San Francisco, CA
  • Senior
  • Posted 13 days ago
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In one line

Senior engineering role owning a financial data platform that turns raw product usage into billing and revenue figures, built on streaming and warehouse tech.

About the role

The person in this seat builds systems that finance and accounting teams trust for reporting, forecasting and audit. Correctness matters more here than speed of shipping.

At a glance

Pay
Not stated in the posting
Location
San Francisco, CA
Seniority
Senior
Skills
Kafka, ClickHouse, Tinybird, Snowflake, ETL, SOX, SOC 2
Posted
22 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Design and build pipelines for billing, revenue recognition and reporting across batch and real-time workloads
  • Work with finance, accounting and revenue operations to turn reporting and close-cycle needs into architecture
  • Set rules for ingestion, storage and modelling, and keep lineage and auditability intact
  • Mentor engineers on technical craft and the extra care financial data demands
  • Make sure pipelines meet SOX, SOC 2 and other rules, with monitoring, alerting and incident response

What they look for

  • Experience leading design of data platforms in a finance or billing domain
  • Hands-on work with Kafka and streaming pipelines, plus ClickHouse, Tinybird or Snowflake
  • Ability to write production code and set a high bar for data accuracy
  • Record of partnering with security, compliance, legal and audit teams

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Questions about this job

Where is this job based?

The posting lists Member of Technical Staff, Finance Data as a role based in San Francisco, CA, United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: experience leading design of data platforms in a finance or billing domain; hands-on work with Kafka and streaming pipelines, plus ClickHouse, Tinybird or Snowflake; ability to write production code and set a high bar for data accuracy. Skills it names include Kafka, ClickHouse, Tinybird, Snowflake.

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