
Data Architect
5 days ago
We are seeking an experienced professional to join our team in the Asset Management/Security Servicing space.
- Create and manage conceptual, logical & physical data models across multiple domains (accounts, holdings, transactions).
- Design and optimize Snowflake data solutions (clustering, partitioning, schema best practices).
- Drive data architecture & governance, ensuring data is trusted, understood, and easy to use.
- Collaborate with Data Product Owners, engineers, and business stakeholders to deliver scalable solutions.
- Document and present architecture/design decisions, ensuring alignment with enterprise standards.
The ideal candidate will possess:
- 10+ years in Enterprise Data Architecture, Data Modelling, Database Engineering.
- Strong expertise in OLTP/OLAP design, Data Warehouse, ELT/ETL processes.
- Proven experience in Snowflake (data sharing, streams, tasks, schema design).
- Proficiency with Enterprise Modelling tools (Erwin, PowerDesigner, IBM Infosphere).
- Hands-on with Azure Data Factory, Synapse, Databricks, Cosmos DB.
- Excellent SQL skills (performance tuning, query optimization, indexing).
- Knowledge of ontology & taxonomy design and regulatory/financial data standards (BIAN, ACORD, ESG).
- Strong communication skills with ability to work across tech & business teams.
Crepaspan offers a dynamic work environment that fosters growth and innovation. Our team specializes in emerging technologies, helping clients build next-generation products that drive business outcomes.
OthersThis role requires a strong passion for data architecture and excellent collaboration skills. The successful candidate will have the opportunity to work on cutting-edge projects and contribute to the development of our team's expertise.
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