Data Solution Architect
We are looking for a seasoned Data Solution Architect to spearhead the design and architecture of our Enterprise Data Platform (EDP).
In this position, you will build the foundation of a scalable, modular, and reusable platform that enables data science teams to deliver production-ready solutions efficiently. You will own the task of defining architectural standards, setting best practices, and converting experimental data science workflows into robust, standardized building blocks.
This is a strategic role for a forward-thinking architect who enjoys solving complex problems, driving innovation, and fostering cross-team collaboration through thoughtful platform design.
Responsibilities
- Architect the design of the Enterprise Data Platform (EDP)
- Construct the platform around reusable, config-driven components that can be assembled into end-to-end workflows
- Establish how components are configured, connected, and executed through metadata rather than custom code
- Create clear, consistent APIs for the platform and its components
- Define standards for packaging and versioning components so they can be shared and reused across teams
- Convert existing data science pipelines into modular platform components
Requirements
- 7+ years of experience in software architecture
- Expertise in Python packaging, including building, versioning, and distributing reusable libraries
- Background in designing and implementing metadata-driven pipelines
- Proficiency in API design, with a focus on clean, consistent, and well-documented interfaces
- Showcase of productizing data science pipelines into modular, reusable components
- Capability to transition data science work from one-off scripts and notebooks to production-ready, standardized building blocks
- English proficiency at an Upper-Intermediate level (B2) or higher
