Data Solution Architect

We are seeking an experienced 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. Responsibilities Design the architecture of the Enterprise Data Platform (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 Turn 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 Experience 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