
Master Data Architect
2 weeks ago
This is a highly skilled data architect role focused on building scalable data models across multiple domains, including accounts, holdings and transactions.
Key Responsibilities:
- Create and manage conceptual, logical & physical data models to ensure accurate and reliable data integration.
- Design and optimize data solutions using Snowflake clustering, partitioning and schema best practices.
- Drive data governance ensuring that data is trusted, understood and easy to use.
- Collaborate with product owners, engineers and stakeholders to deliver business solutions.
- Document and present architecture/design decisions in line with enterprise standards.
Mandatory Skills:
- 10+ years of experience in data modelling, database engineering and enterprise data architecture.
- Expertise in OLTP/OLAP design, data warehouse and ELT/ETL processes.
- Strong knowledge of Snowflake data sharing, streams, tasks and schema design.
- Proficiency in Enterprise Modelling tools like Erwin, PowerDesigner and IBM Infosphere.
- Hands-on experience with Azure Data Factory, Synapse, Databricks and Cosmos DB.
- Excellent SQL skills for performance tuning, query optimization and indexing.
- Knowledge of ontology and taxonomy design as well as regulatory and financial data standards.
- Strong communication and stakeholder engagement skills.
Desirable Qualifications:
- 3+ years of experience in the security servicing or asset management domain.
- Familiarity with Master Data Management (MDM), data vault and information architecture frameworks.
- Basic understanding of Python/R programming languages for data analysis.
- Excellent presentation and visualisation skills.
Company Overview:
The company is a leading technology consulting and solutions provider serving various industries.
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