8+ years in software development, with meaningful experience designing and building data-intensive systems - SAP systems are deeply embedded, business‑critical, and designed to change slowly. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. * Hands-on experience with data platforms, ETL/ELT pipelines, and data lake architectures * Demonstrated ability to design scalable, maintainable systems and make sound trade-offs under uncertainty * Bachelor's or master's degree in computer science, Engineering, or a related field — or equivalent practical experience * Semantic and metadata systems: Experience with data catalogs, ontology mapping, knowledge graphs, or metadata-driven architectures
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