Senior Data Platform Engineer — Remote-First AI Tools

Affirm; San Diego (CA); On-site; USD 173,000 - 255,000; Full time

Benefits offered by this job

Health care coverage

Flexible Spending Wallets

Time off

Employee stock purchase plan

Job summary

Affirm is building a scalable data platform and storage layer that powers checkout analytics and decision making. This role focuses on the platform and applications layer, helping engineers deploy, secure, and govern data at scale while advancing self-service tooling and reliability.

You will contribute to reliability, observability, and the emerging semantic layer and AI-native data tooling, collaborating with cross‑functional teams and owning on‑call readiness to reduce blast radius and

Qualifications

• Hands-on experience operating a cloud analytical data platform with governance.
• Experience building and operating containerized apps and CI/CD pipelines.
• Experience building internal platforms and self-service tooling.
• Familiarity with REST APIs, OAuth/OIDC, and secrets management.
• Proficiency in Python and SQL for platform services.
• Strong operational instincts and on-call ownership.

Responsibilities

• Build and operate core platform capabilities for data apps at scale.
• Develop integrations with CI/CD, identity, and external APIs.
• Strengthen data access governance and secure data views.
• Automate toil and enable self-service for platform users.
• Improve observability, incident response, and runbooks.
• Participate in on-call coverage and platform maintenance.
• Contribute to semantic layer and AI-ready data tooling roadmap.
• Set high standards in code reviews and operational readiness.

Skills

Data platform

Python

SQL

CI/CD

RBAC

Data governance

On-call ownership

AI-ready tools

Communication

Tools

Docker

Buildkite

GitHub Actions

Job description

Affirm is building a scalable data platform and storage layer that powers checkout analytics and decision making. This role focuses on the platform and applications layer, helping engineers deploy, secure, and govern data at scale while advancing self-service tooling and reliability.

You will contribute to reliability, observability, and the emerging semantic layer and AI-native data tooling, collaborating with cross‑functional teams and owning on‑call readiness to reduce blast radius and