
Data Architect Opportunity
15 hours ago
We are seeking a skilled Enterprise Data Architect to join our team. The successful candidate will play a key role in building and managing data models, ensuring trusted, high-quality, business-aligned data solutions on Snowflake and Azure platforms.
- Create 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 business stakeholders to deliver scalable solutions.
- Document and present architecture/design decisions, ensuring alignment with enterprise standards.
The ideal candidate will build and manage data models (conceptual, logical, physical) to ensure trusted, high-quality, business-aligned data solutions on Snowflake and Azure platforms.
Snowflake Solutions ExpertiseThe candidate will design and optimize Snowflake data solutions (clustering, partitioning, schema best practices).
Data Governance and ArchitectureThe Enterprise Data Architect will drive data architecture & governance, ensuring data is trusted, understood, and easy to use.
Collaboration and CommunicationThe candidate will collaborate with Product Owners, engineers, and business stakeholders to deliver scalable solutions.
Documentation and PresentationThe candidate will document and present architecture/design decisions, ensuring alignment with enterprise standards.
Required skills and qualifications include:
- 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 skills include:
- 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).
About this opportunity:
A leading technology consulting firm serving clients across various industries is seeking an experienced Enterprise Data Architect to join their team. The company specializes in emerging technologies, helping clients build next-generation products that drive innovation.
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