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# Staff Data Platform Engineer

- **Company:** Stitcherads
- **Location:** Chicago, IL, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Infrastructure, Data Structures, Python (Programming Language), Snowflake, Apache Spark, Agentic-AI, Kubernetes, Terraform
- **Published:** November 13, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-0A3ED7EB997DEF49B4/

## About the Role

* You've built loosely coupled production services, APIs and SDKs in Python that multiple teams depend on.
 * You've built metadata-driven platforms that integrate with catalogs and check lineage, contracts and quality automatically.
 * You've built observability other teams depend on, and can tell a signal from noise.
 * You get tools adopted by teams that don't report to you through architecture reviews, mentorship, and clear communication.
 * Strong AWS, Terraform and Kubernetes experience.

Strongly Preferred

 * Experience moving from batch to streaming; understanding of cost tradeoffs.
 * Spark and Iceberg at significant scale, and Snowflake in production.
 * Ad tech, or another domain with high-volume event data and multiple consumers.
 * Experience building tooling and data structures that AI agents operate against.

## Description

* Build the enforcement layer for the data standards. Schema registry, the contract validator and the CI step that runs it, automated certification.
 * Make every data product observable by default. Freshness, volume, schema conformance, and quality instrumented by the paved road rather than hand-built per team, emitting into Kargo's existing monitoring with the ownership and lineage metadata that makes AI-assisted triage possible.
 * Set the platform's technical direction. Architecture, roadmap, and build-versus-buy calls, informed by what the teams who produce and consume data actually need. Run the design reviews where they weigh in, and keep the platform modular enough that they contribute capabilities back.