Software Engineer, Data Platform

Responsibilities

• Design, develop, and operate systems that transform high volumes of identity data from third-party integrations to product consumers with correctness, freshness, and operational rigor.
• Build the shared primitives and interfaces (APIs, services, materialized models) that abstract raw identity data into the building blocks that power our products.
• Contribute to the technical vision for a world-class data infrastructure that empowers engineering, product, and AI teams, enabling seamless access to high-quality data.
• Establish SLOs, observability, and operational tooling that catch and remediate failures in identity data systems before they reach customers.
• Promote and implement software engineering best practices for building scalable, reliable, and secure data-centric applications.

Requirements

• 3-7 years of experience as a backend or platform engineer building production data systems other teams depend on, either ingestion and sync pipelines (Dagster, Airflow, or comparable orchestration) or service layers in front of a transactional database (MySQL/Postgres) that abstract storage from internal consumers.
• Strong backend development skills in Python, Go, or TypeScript, with a focus on clean API design, testability, and observability.
• Strong instinct for data correctness, observability, and SLOs in systems where downstream products take action on the output.
• Experience designing service or API interfaces over a transactional datastore (MySQL/Postgres) defining contracts that let producers and consumers evolve independently.
• Familiarity with identity and access governance (IGA) data (e.g. identities, accounts, entitlements, group memberships) and how its correctness, freshness, and traceability shape downstream governance outcomes at scale.