The data still runs the business, but it can't easily be trusted, reused, or reasoned over consistently by modern software and AI. * Owning the core platform architecture that balances scalability, security, speed of execution, and performance - This involves defining and owning the fundamental platform elements, including how business meaning is represented, versioned, governed, and exposed, ensuring that enterprise data and business logic can be reliably utilized by software and AI. * 8+ years in software development, with meaningful experience designing and building data-intensive systems * Hands-on experience with data platforms, ETL/ELT pipelines, and data lake architectures * Semantic and metadata systems: Experience with data catalogs, ontology mapping, knowledge graphs, or metadata-driven architectures * Early-stage impact: You'll shape the architecture of a platform with real ...
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