Data Modeler - Azure Databricks (Medallion Architecture)

apartmentRackspace Technology placeDubai calendar_month11/04/2026

Job Description

Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We've evolved Fanatical Support to encompass the entire customer journey — providing Fanatical Experience™ from first consultation to daily operations.

Our passionate experts combine the power of proactive, always-on service and expertise with best-in-class tools and automation to deliver technology when and how our customers need it.

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 Responsibilities

Data Modelling & Design

Develop Conceptual, Logical, and Physical Data Models.
Define schemas, entities, attributes, relationships, keys, constraints, and data types.
Provide DDL-ready SQL definitions for implementation.
Clearly define fact table grain and dimensional structures.

Azure Databricks – Medallion Modelling

Design structured models across:
Bronze Layer – Raw ingestion, schema control.
Silver Layer – Cleansed, conformed, standardized data.
Gold Layer – Business-ready dimensional models.
Define transformation logic across layers (Bronze → Silver → Gold).
Incorporate Delta Lake best practices (partitioning, performance, scalability).

Advanced Modelling Techniques.

Requires Strong Hands-on Expertise In

3rd Normal Form (3NF)
Star Schema
Snowflake Schema
Data Vault (Hubs, Links, Satellites)

Must Clearly Define

Fact grain
Surrogate key strategy
Slowly Changing Dimensions (Type 1 & 2)
Conformed dimensions
Aggregation strategy

Engineering & Governance Alignment

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

5+ years of hands-on Data Modelling experience.
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,
PowerDesigner, Lucidchart, or similar).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.

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