Staff Analytics Engineer, Subledger Platform

Affirm

Remote, US
Base: $215,000 - $265,000 (ca, wa, ny, nj, ct); ba...
Remote
Production dbt project ownership
Snowflake warehouse architecture
Advanced sql and data modeling
Affirm is seeking a Staff Analytics Engineer for their Subledger Platform, focusing on building and maintaining a robust financial data infrastructure using dbt and Snowflake. The ideal candidate will have extensive experience in analytics engineering, especially with production dbt projects, and will play a pivotal role in enhancing data quality and controls

Job Summary

  • The role involves building and owning the Financial Subledger Data Platform to transform operational events into trusted accounting-ready outputs.
  • Candidates will implement strong data quality controls and embed AI-assisted reconciliation capabilities to automate variance triage and root cause analysis.
  • Affirm offers a competitive compensation package including equity rewards, 100% subsidized medical coverage, and flexible spending wallets for technology and lifestyle needs.

Matching Summary

Match Score: 85

Affirm is seeking a Staff Analytics Engineer for their Subledger Platform, focusing on building and maintaining a robust financial data infrastructure using dbt and Snowflake. The ideal candidate will have extensive experience in analytics engineering, especially with production dbt projects, and will play a pivotal role in enhancing data quality and controls.

Salary

Base: $215,000 - $265,000 (CA, WA, NY, NJ, CT); Base: $191,000 - $241,000 (all other US states); Equity Grade 12 included

Skills & Requirements

Must-have

  • Production dbt project ownership
  • Snowflake warehouse architecture
  • Advanced SQL and data modeling
  • Python programming for automation
  • Data quality and control implementation

Nice-to-have

  • Accounting subledger concepts
  • SOX compliance and controls design
  • AI/LLM application in reconciliation
  • AWS cloud infrastructure experience
  • Cross-functional stakeholder leadership

Key Requirements

  • Deep hands-on analytics engineering experience
  • Senior level technical proficiency
  • Ability to mentor junior engineers

Work Rights

Not specified

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