Urgent role Senior Data Modeler (Remote)
Rahul Pandey
Hello,
This is Rahul from Quantum world Technologies; I am working as Senior Technical Recruiter in this company. I have an Remote Job Opportunity with one of our clients. Please share your resume if you are interested in the job details given below
Role- Senior Data Modeler
Location- Remote
Role Summary
We are seeking a Senior Data Modeler to design and implement scalable, high-quality enterprise data models supporting analytics, reporting, and AI/ML use cases on Azure Databricks platforms.
This role will be responsible for developing logical and physical data models, canonical schemas, and semantic layers, enabling consistent, governed, and reusable data assets across domains.
A strong data model is foundational for integrating complex datasets (claims, provider, member) and enabling advanced analytics and AI-driven decisioning
Key Responsibilities
- Design and develop logical, physical, and dimensional data models (OLTP / OLAP)
- Build canonical data models and semantic layers for enterprise data products
- Define entity relationships, schemas, and data standards across domains
- Create and maintain ER diagrams (ERD) and data dictionaries
- Support Medallion architecture (Bronze / Silver / Gold layers)
- Drive source-to-target mapping (STM) and data transformation design
- Ensure data quality, consistency, and standardization across datasets
- Collaborate with Data Engineering teams for Data Lakehouse implementation (Databricks)
- Enable data lineage, metadata management, and governance frameworks
- Translate business requirements into scalable and reusable data models
- Well-defined data models enable cross-domain integration, consistent semantics, and scalable analytics outcomes
Required Skills
· Strong expertise in:
- Data Modeling (Conceptual, Logical, Physical, Dimensional)
- Star/Snowflake schema design and normalization techniques
· Hands-on experience with:
- Azure Databricks (mandatory)
- SQL, Databricks SQL / PySpark (data understanding)
- Azure Data Services (ADLS, ADF, Synapse)
· Experience in:
- Data Warehousing / Lakehouse architectures
- Data lineage, metadata, and catalog tools (Purview / Unity Catalog)
· Strong understanding of:
- Data governance, data quality, and
modeling best practices