Rackspace1mo ago
Data Modeler - Azure Databricks (Medallion Architecture)
United Arab Emirates - Dubai,DubaiFull - Timemid
Data ModelerData & AI
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Quick Summary
Key Responsibilities
o Bronze Layer – Raw ingestion, schema control. o Silver Layer – Cleansed, conformed, standardized data. o Gold Layer –
Technical Tools
Data ModelerData & AI
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:
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).
• 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).
Location & Eligibility
Where is the job
United Arab Emirates - Dubai
On-site at the office
Listed under
Worldwide
Listing Details
- Posted
- March 6, 2026
- First seen
- April 9, 2026
- Last seen
- April 27, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- April 28, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
Rackspace
lever
At Rackspace, we accelerate the value of the cloud during every phase of digital transformation.
View company profileExternal application · ~5 min on Rackspace's site
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Data Modeler - Azure Databricks (Medallion Architecture)