Staff Analytics Engineer, Subledger Platform

About the Role

As a key member of the team, the Staff Analytics Engineer will be responsible for building and owning the Financial Subledger Data Platform, which serves as the canonical set of dbt models, governed datasets, and control frameworks that transform operational and ledger events into trusted, explainable, and accounting-ready outputs. This role requires a high degree of autonomy, as well as significant cross-functional partnership across Accounting, Financial Reporting, Financial Systems, and upstream product engineering teams.

Affirm is committed to fostering a culture of innovation and collaboration, and this role is no exception. The successful candidate will be expected to drive technical direction, mentorship, and standards for the platform, while also maintaining and hardening the existing platform to ensure flexibility and adaptability in the face of evolving technological trends.

What You Will Do

• Build and own dbt models for the financial subledger platform, including naming conventions, macros, and reusable patterns
• Implement strong data quality and controls in dbt, including tests, freshness, anomaly checks, and automated reconciliations
• Embed AI-assisted reconciliation capabilities into the platform, automating variance triage, suggesting likely root causes, and generating human-reviewable reconciliation narratives and evidence artifacts
• Own end-to-end subledger data products, with traceability from source events through transformations to reporting outputs
• Partner with Accounting and Financial Reporting to translate requirements into clear model specifications and ship them as durable dbt assets
• Drive production operational ownership, including monitoring, incident response, root-cause fixes, and release hygiene for the pipelines and models
• Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management
• Coach and develop one Analytics Engineer via code review, pairing, scoped ownership, and clear technical direction

What We Are Looking For

• Deep, hands-on analytics engineering experience, with a strong background in building and maintaining production dbt projects
• Strong understanding of data governance, data quality, and control frameworks
• Experience with dbt, Snowflake, and other relevant technologies
• Excellent communication and collaboration skills, with the ability to partner effectively with cross-functional teams
• Strong problem-solving skills, with the ability to drive technical direction and mentorship
• Experience with AI-assisted reconciliation and automation
• Strong understanding of financial accounting principles and practices

Nice to Have

• Experience with machine learning or artificial intelligence
• Familiarity with cloud-based data platforms and technologies
• Experience with data visualization tools and techniques
• Strong understanding of software development principles and practices

Benefits and Perks

• Competitive compensation and benefits package
• Opportunity to work with a fast-paced and innovative company
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible and remote work arrangements
• Access to cutting-edge technologies and tools
• Comprehensive health and wellness benefits
• Generous paid time off and vacation policy

• Develop a strong understanding of dbt and data governance principles, and be prepared to showcase your skills and experience in these areas.
• Build a portfolio of your work, including examples of dbt projects and data products you have developed and owned.
• Be prepared to discuss your experience with AI-assisted reconciliation and automation, and how you have applied these technologies in previous roles.
• Emphasize your ability to drive technical direction and mentorship, and be prepared to provide examples of how you have coached and developed junior team members.
• Research Affirm's company culture and values, and be prepared to discuss how your skills and experience align with these principles.
• Be prepared to ask thoughtful and informed questions during the interview process, and be ready to discuss your long-term career goals and aspirations.
• Pay attention to the company's benefits and perks, and be prepared to negotiate salary and other compensation packages based on your research and industry standards.