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Data Architect
ODS Serbia
Dubai, UAE
Full-time
Entry
Onsite
Discovered Yesterday
Data architectureConceptual, logical, and physical data modelingData lake, warehouse, and lakehouse architectureAdvanced SQL and database architectureNoSQL databasesETL/ELT and data integration
Free
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Data architectureConceptual, logical, and physical data modelingData lake, warehouse, and lakehouse architecture
Role Overview
Dubai Health Authority is seeking an experienced Data Architect to design and build a Unified Data Platform as a single source of truth for data and analytics.
The role also contributes to improving and delivering other data-related projects across the authority.
Key Skills for This Role
Data architectureConceptual, logical, and physical data modelingData lake, warehouse, and lakehouse architectureAdvanced SQL and database architectureNoSQL databasesETL/ELT and data integration
Full Job Posting
Role Overview
Dubai Health Authority is seeking an experienced Data Architect to design and build a Unified Data Platform as a single source of truth for data and analytics.
The role also contributes to improving and delivering other data-related projects across the authority.
Architecture Responsibilities
- Design the overall data architecture and long-term direction for the Unified Data Platform.
- Design conceptual, logical, and physical data models and define the organization of warehouses, lakes, lakehouses, databases, and related platforms.
- Design data integration across operational systems, ETL or ELT pipelines, APIs, data warehouses, and BI systems.
- Establish data governance standards for definitions, ownership, quality, metadata, lineage, dictionaries, and glossaries.
- Define security, compliance, technology decisions, architecture standards, and the full data lifecycle.
- Translate business requirements into data architecture and align with engineers, analysts, security, and management.
Main Requirements
- Strong knowledge of data modeling, including normalization, denormalization, star and snowflake schemas, slowly changing dimensions, and master or reference data.
- Strong knowledge of data lake, warehouse, and lakehouse architecture, including medallion architecture, data marts, semantic layers, CDC, retention, and historical data.
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