

PEOPLE FORCE CONSULTING INC
Sr Data Modeler - Erwin, Data Vault Modeling
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Modeler with 10+ years of experience, focusing on healthcare domain expertise, Data Vault Modeling, and ERWIN. Contract length is unspecified, with remote work in the U.S. Pay rate is not provided.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
November 12, 2025
π - Duration
Unknown
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ποΈ - Location
Remote
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #ERWin #SQL (Structured Query Language) #Microsoft Power BI #BI (Business Intelligence) #Snowflake #Data Vault #Metadata #Migration #Database Design #Azure #Cloud #Scala #Data Warehouse #Vault #Data Governance #Matillion #Physical Data Model #Data Modeling #Documentation
Role description
As a Data Modeler, you will lead the design and development of scalable data models, support data warehouse migrations, and enable analytics through optimized data structures. Youβll work remotely with cross-functional teams to support healthcare payer data initiatives.
Position: Sr Data Modeler
Location: United States (Remote)
Experience: 10+ years
Mandatory: Recent 5 yrs in Healthcare Domain, Data Vault Modeling, ERWIN
Duties
β’ Design and develop conceptual, logical, and physical data models
β’ Create and maintain data dictionaries and metadata repositories
β’ Analyze source systems and define target schemas in Snowflake
β’ Lead data warehouse migration from legacy platforms to Snowflake
β’ Collaborate with cross-functional teams to gather and analyze data requirements
β’ Implement data governance-compliant schemas
β’ Support ETL processes and data warehousing initiatives
β’ Apply industry best practices for data modeling and database design
β’ Use tools like Matillion, Visio, and BPMN for documentation and modeling
β’ Translate business needs into optimized data structures for analytics and reporting
Required
β’ Minimum 10 years of experience in data modeling and data warehousing
β’ Proven expertise in Snowflake, Azure, and SQL
β’ Experience in Healthcare Payers domain.
β’ Familiarity with Power BI, Matillion, and Lakehouse architecture
β’ Strong understanding of dimensional modeling and canonical models
β’ Ability to work independently in a remote setup
β’ Excellent communication and documentation skills
β’ Relevant certifications in data platforms or cloud technologies are a plus
As a Data Modeler, you will lead the design and development of scalable data models, support data warehouse migrations, and enable analytics through optimized data structures. Youβll work remotely with cross-functional teams to support healthcare payer data initiatives.
Position: Sr Data Modeler
Location: United States (Remote)
Experience: 10+ years
Mandatory: Recent 5 yrs in Healthcare Domain, Data Vault Modeling, ERWIN
Duties
β’ Design and develop conceptual, logical, and physical data models
β’ Create and maintain data dictionaries and metadata repositories
β’ Analyze source systems and define target schemas in Snowflake
β’ Lead data warehouse migration from legacy platforms to Snowflake
β’ Collaborate with cross-functional teams to gather and analyze data requirements
β’ Implement data governance-compliant schemas
β’ Support ETL processes and data warehousing initiatives
β’ Apply industry best practices for data modeling and database design
β’ Use tools like Matillion, Visio, and BPMN for documentation and modeling
β’ Translate business needs into optimized data structures for analytics and reporting
Required
β’ Minimum 10 years of experience in data modeling and data warehousing
β’ Proven expertise in Snowflake, Azure, and SQL
β’ Experience in Healthcare Payers domain.
β’ Familiarity with Power BI, Matillion, and Lakehouse architecture
β’ Strong understanding of dimensional modeling and canonical models
β’ Ability to work independently in a remote setup
β’ Excellent communication and documentation skills
β’ Relevant certifications in data platforms or cloud technologies are a plus






