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# Staff Data Platform Engineer

- **Company:** Kargo
- **Location:** Greater London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Infrastructure, Data Structures, Python (Programming Language), Snowflake, Apache Spark, Kubernetes, Terraform
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2830497513-staff-data-platform-engineer

## About the Role

Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it., * 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., * 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.

Nice to have:

 * Experience standing up a platform team's first generation of capabilities.
 * Data catalog, semantic layer, or governance tooling.

## 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.


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