Data Science Platform Architect

We are looking for a Data Science Platform Architect to design the architecture of EDP, building reusable, config-driven components that power end-to-end data science workflows. The ideal candidate will bring strong software architecture expertise and a track record of transforming data science pipelines into modular, production-ready platform components.

Responsibilities

Design the overall architecture of EDP Build the platform around reusable, config-driven components that can be combined into end-to-end workflows Define how components are configured, connected, and executed through metadata rather than custom code Design clear, consistent APIs for the platform and its components Set standards for packaging and versioning components so they can be shared and reused across teams Transform existing data science pipelines into modular platform components Requirements 5+ years of experience in software architecture Expertise in Python packaging, including building, versioning, and distributing reusable libraries Experience designing and implementing metadata-driven pipelines Skills in API design, with a focus on clean, consistent, and well-documented interfaces Proficiency in productizing data science pipelines into modular, reusable components Experience moving data science work from one-off scripts and notebooks to production-ready, standardized building blocks English proficiency at B2 level or higher