Data Architect
7 days ago
- Competitive Compensation Package
- Growth Opportunities
About Our Client
One of the leading financial institutions.
Job Description
- Data Model Design
- Develop and maintain conceptual, logical, and physical data models using tools like Erwin Data Modeler.
- Design data structures optimized for performance, scalability, and maintainability within the Enterprise Data Platform.
- Data Integration & Mapping
- Define and document data mappings for ETL processes and integrations across multiple components of the Enterprise Data Platform, utilizing tools like Azure Data Factory and Azure Databricks.
- Data Access & Security
- Implement and manage Unity Catalog for metadata management and access control within Azure Databricks.
- Ensure compliance with internal and external data security and privacy standards.
- Data Optimization & Performance Tuning
- Design and optimize data models to enhance query performance, scalability, and storage efficiency.
- Apply partitioning, indexing, and other performance-enhancing techniques.
- Metadata Management
- Track and manage metadata across data models in the Enterprise Data Platform.
- Collaboration & Stakeholder Management
- Work closely with data engineers, business analysts, and IT teams to understand business requirements and translate them into technical data designs and solutions.
- Version Control
- Manage version control of data models, ensuring that changes are tracked and communicated across teams.
- Oversee change management processes for updates and revisions.
- Documentation
- Create and maintain data dictionaries, ERDs, and other technical documentation to support ongoing and future developments in the Enterprise Data Platform.
The Successful Applicant
- 5+ years of experience in data architecture, data modeling, and data integration.
- Proficiency in data modeling tools such as Erwin or similar tools.
- Strong working knowledge of relational and cloud-based databases and design approaches.
- Familiarity with Azure Databricks, Unity Catalog, and Azure Medallion Architecture.
- Experience in designing and implementing governance and security policies for data access.
- Proficiency in metadata management and tracking data lineage.
- Proficient in designing conceptual, logical, and physical data models using tools like Erwin Data Modeler, with a strong understanding of normalization, denormalization, and schema design for analytics and operational systems.
- Proficient in defining data flows, transformation logic, and data integration strategies.
What's on Offer
If you are a seasoned IT Data Architect talent with extensive experience in Azure Databricks, this opportunity is for you
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