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Intellics Global Services is seeking an experienced Senior Data Modeler to analyze, design and optimize large-scale data models within a Databricks Lakehouse environment. You will work with stakeholders and engineering teams to modernize enterprise data platforms and ensure scalable Bronze, Silver, and Gold layer architectures.
The role emphasizes strong dimensional modeling skills, governance, data quality, and cross-functional collaboration across data engineering and analytics teams.
Job Description Senior Data Modeler Databricks Medallion Architecture
We are seeking an experienced Data Modeler with strong expertise in analyzing existing FactDimension StarSnowflake data models and designing scalable Databricks Medallion Architecture Bronze Silver Gold data models The candidate will work closely with business stakeholders data architects and engineering teams to modernize and optimize enterprise data platforms
Analyze and assess existing FactDimension data models data flows and business processes
Design and implement scalable Bronze Silver and Gold layer data models in Databricks
Translate business requirements into logical and physical data models
Define data governance conformed dimensions surrogate key strategies and data quality standards
Collaborate with Data Engineers to optimize data ingestion transformation and analytics workloads
Create and maintain data dictionaries mapping documents and model documentation
Drive data model performance optimization partitioning and query tuning
Support migration of legacy data warehouses and reporting platforms to Databricks Lakehouse
10 years of experience in Data Modeling and Data Warehousing
Strong expertise in Dimensional Modeling Star Schema Snowflake Schema Fact and Dimension design
Handson experience with Databricks Lakehouse Architecture and Medallion Design Patterns
Strong understanding of Delta Lake Data Governance Data Lineage and Data Quality frameworks
Experience with SQL Databricks SQL and data modeling tools Erwin ERStudio Lucidchart etc
Knowledge of Data Warehouse modernization and cloud data platforms
Strong stakeholder management and requirement analysis skills
Experience with Azure Databricks andor AWS Databricks
Knowledge of Unity Catalog Delta Live Tables and Data Mesh concepts
Exposure to Power BI Tableau or other BIreporting tools
Experience in Life Sciences Healthcare Supply Chain or Commercial Analytics domains
Data Architecture Modeling
Business Requirement Analysis
Problem Solving Analytical Thinking
Documentation Communication
Stakeholder Management
Ideal Candidate A senior data modeler who can evaluate existing enterprise warehouse models define targetstate Databricks Lakehouse models and lead endtoend data model modernization initiatives
Mandatory Skills : Dimensional Data Modeling
Good to Have Skills : TOAD Data Modeler