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).


About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. 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. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. 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. If you have a disability or special need that requires accommodation, please let us know.