Data Modeler

Uae Dubai, United Arab EmiratesOn-site

Responsibilities

Develop Conceptual, Logical, and Physical Data Models.
Define schemas, entities, attributes, relationships, keys, constraints, and data types.
Design structured models across: o Bronze Layer – Raw ingestion, schema control. o Silver Layer – Cleansed, conformed, standardized data. o Gold Layer – Business-ready dimensional models.
Define transformation logic across layers (Bronze → Silver → Gold).
Ensure models are build-ready for Data Engineering teams.
Review implementation alignment with design.
Maintain ER diagrams, data dictionary, mapping documents.
Enforce enterprise naming standards and modelling best practices. Required Skills & Experience

As a Data Modeler, you will design and deliver implementation-ready logical and physical data models within Azure Databricks (Delta Lake) following Medallion Architecture (Bronze, Silver, Gold) .
The role ensures Data Engineers can immediately begin development with clear schema definitions, SQL structures, and zero ambiguity. Key
Provide DDL-ready SQL definitions for implementation.
Clearly define fact table grain and dimensional structures. Azure Databricks – Medallion Modelling
3rd Normal Form (3NF) Star Schema Snowflake Schema
Strong SQL (DDL, partitioning, performance concepts). Proven
experience in Azure Databricks and Delta Lake environments.
Deep understanding of Medallion Architecture.
Experience in enterprise Data Warehouse or Modern Data Platform projects.
Proficiency with data modelling tools (ERwin, ER Studio,
We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future.
If you have a disability or special need that requires accommodation, please let us know.

We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic.

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Incorporate Delta Lake best practices (partitioning, performance, scalability). Advanced Modelling Techniques . Requires strong hands-on expertise in:
Data Vault (Hubs, Links, Satellites) Must clearly define: Fact grain
Aggregation strategy Engineering & Governance Alignment
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