Data Architect - Makati - ref. d89416515

• 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.

• 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.

One of the leading financial institutions.

If you are a seasoned IT Data Architect talent with extensive experience in Azure Databricks, this opportunity is for you!