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