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Data Modeler (Azure Databricks)

Rackspace TechnologyDubai, UAE5 days agoMid-Senior
Mid-Seniorfulltime

* Only formal applications submitted with a CV will be considered. Direct messages and/or InMails will not be reviewed *** Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies.

Skills

SQLAzureVAT

About This Role

Overview

***** Only formal applications submitted with a CV will be considered.

Direct messages and/or InMails will not be reviewed *****

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.

***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).

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