Design and implement scalable, end-to-end data architectures encompassing source system ingestion, integration pipelines, cloud-native data platforms, data mesh and downstream analytical and operational consumption layers, ensuring robustness, scalability, and security.
Lead comprehensive data modeling efforts across conceptual, logical, and physical layers, applying best practices in normalized (3NF) and dimensional modeling to support complex, high-volume financial datasets and enable effective reporting and analytics.
Create and maintain semantic data models using ontologies and validate data integrity via SHACL shapes to build enterprise knowledge graphs , establishing consistent terminology, enforcing data quality constraints, enhancing data interoperability.
Possess strong knowledge of end-to-end workflows relevant ...