Responsibilities:

• 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 to financial domains (e.g., trade lifecycle, processing, reporting, re...