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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