Data Modeler
SANFOUR HOLDINGS LLC
North Brunswick Township, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 125KJob location
North Brunswick Township, United States of America
Tech stack
Amazon Web Services (AWS)
Azure
Clinical Data Repository
Information Engineering
Data Governance
Data Infrastructure
Data Integrity
ETL
Data Structures
Relational Databases
Enterprise Data Management
Google Cloud Platform
Snowflake
Data Lake
Integration Frameworks
Physical Data Models
Job description
We are seeking an experienced Data Modeller with strong expertise in the Healthcare Payer and Provider domain. The role involves designing, developing, and maintaining enterprise-scale data models that support critical healthcare operations including Claims, Enrollment, Eligibility, Payments, Provider, and Member data., * Design and implement conceptual, logical, and physical data models for healthcare datasets
- Collaborate with business stakeholders to translate requirements into scalable data structures
- Ensure data integrity, consistency, and compliance with healthcare regulations (HIPAA, etc.)
- Define and manage data mappings, lineage, and metadata across payer/provider systems
- Optimize data models for performance, scalability, and security in modern platforms (Snowflake, Data Lakes, RDBMS)
Requirements
Do you have experience in Stakeholder relationship building?, * 8+ years in Data Modelling / Data Engineering / Enterprise Data Management
- Strong domain knowledge in Healthcare Payer/Provider ecosystems
- Proven experience with Claims, Enrollment, Eligibility, Payments, Provider, and Member datasets
- Expertise in Conceptual, Logical, and Physical Data Modelling
- Hands-on with modern data platforms (Snowflake, Data Lakes, RDBMS)
- Familiarity with ETL/integration tools and data governance frameworks, * Knowledge of healthcare regulatory compliance (HIPAA, CMS guidelines)
- Experience with cloud data modernization (AWS, Azure, GCP)
- Strong communication and stakeholder management