
Senior Enterprise Data Architect
4 days ago
Our organization is seeking an experienced professional to fill a critical role in our Asset Management/Security Servicing space.
The ideal candidate will play a key role in building and managing data models (conceptual, logical, physical) and ensuring trusted, high-quality, business-aligned data solutions on Snowflake and Azure platforms.
- 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 Product Owners, engineers, and stakeholders to deliver scalable solutions.
- Document and present architecture/design decisions, ensuring alignment with enterprise standards.
Required Skills and Qualifications:
- 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.
Nice to Have:
- 3+ years in security servicing / asset management / investment domain.
- Familiarity with MDM, data vault, information architecture frameworks.
- Exposure to Python / R for data analysis.
- Strong presentation skills (architecture diagrams, stakeholder discussions).
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