
Data Architect Position
2 days ago
We are seeking an experienced professional to fill the role of Data Architect. This position will play a key role in building and managing data models, ensuring trusted, high-quality, business-aligned data solutions.
This is a hybrid role that involves creating and managing conceptual, logical & physical data models across multiple domains. You will design and optimize data solutions (clustering, partitioning, schema best practices) and drive data architecture & governance, ensuring data is trusted, understood, and easy to use.
- Create and manage conceptual, logical & physical data models across multiple domains.
- Design and optimize data solutions (clustering, partitioning, schema best practices).
- Drive data architecture & governance, ensuring data is trusted, understood, and easy to use.
The ideal candidate will have:
- 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.
About this opportunity:
This role will be part of a team specializing in emerging technologies, helping clients build next-generation products that drive innovation.
Key Responsibilities:
- Develop and implement data architecture strategies.
- Collaborate with cross-functional teams to deliver scalable data solutions.
- Ensure data quality, integrity, and security.
Requirements:
- 10+ years of experience in data architecture, data modelling, and database engineering.
- Strong expertise in data warehousing, ELT/ETL processes, and Snowflake.
- Proficiency in Azure Data Factory, Synapse, Databricks, and Cosmos DB.
Nice to Have:
- Experience in security servicing / asset management / investment domain.
- Familiarity with MDM, data vault, information architecture frameworks.
- Exposure to Python / R for data analysis.
About Us:
We are a technology consulting and solutions provider, serving clients across various industries.
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