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We are looking for a seasoned Data Solution Architect to lead the design and architecture of our Enterprise Data Platform (EDP).
In this role, you will shape the foundation of a scalable, modular, and reusable platform that empowers data science teams to deliver production-ready solutions efficiently. You will be responsible for defining architectural standards, establishing best practices, and transforming experimental data science workflows into robust, standardized building blocks.
This is a strategic position for a forward-thinking architect who thrives on solving complex problems, driving innovation, and enabling cross-team collaboration through thoughtful platform design.
- Design the architecture of the Enterprise Data Platform (EDP)
- Build the platform using reusable, config-driven components that can be assembled into end-to-end workflows
- Define how components are configured, connected, and executed via metadata instead of custom code
- Create clear, consistent APIs for the platform and its components
- Establish standards for packaging and versioning components so they can be shared and reused across teams
- Transform existing data science pipelines into modular platform components
- 7+ years of experience in software architecture
- Expertise in Python packaging, covering building, versioning, and distributing reusable libraries
- Background in designing and implementing metadata-driven pipelines
- Proficiency in API design, with an emphasis on clean, consistent, and well-documented interfaces
- Showcase of productizing data science pipelines into modular, reusable components
- Capability to move data science work from one-off scripts and notebooks to production-ready, standardized building blocks
- English proficiency at an Upper-Intermediate level (B2) or above