

SIMARN Solutions
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with 7+ years of experience, focusing on healthcare data modeling and cloud architecture (GCP preferred). Contract length is unspecified, with a pay rate of "unknown." Remote work is available, requiring expertise in ERWin, SQL, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Engineering #Data Access #Data Strategy #Data Vault #Agile #Data Design #"ETL (Extract #Transform #Load)" #Version Control #Data Modeling #Strategy #Compliance #Data Architecture #Physical Data Model #Programming #SQL (Structured Query Language) #Scala #Vault #GCP (Google Cloud Platform) #Data Warehouse #Data Transformations #Data Governance #Data Mapping #GIT #ERWin #Jira #Cloud
Role description
Data Modeler
Location: St. Louis, MO (Remote)
Experience: 7+Years
Primary Skill: Data Governance – Data Modeling – Erwin Data Modeler
Role Overview
We are seeking an experienced Data Modeler to design, develop, and manage enterprise data models supporting operational, real-time, and analytical solutions. This role requires strong expertise in data modeling techniques, healthcare domain knowledge, and cloud-based data architecture (GCP preferred).
The ideal candidate will collaborate with cross-functional teams to translate business requirements into scalable data models and ensure alignment with enterprise data strategy. The role demands a hands-on professional with expertise in Operational Insights platforms, data mapping, and advanced modeling tools.
Key Responsibilities
Data Modeling & Design
• Design, develop, and maintain conceptual, logical, and physical data models
• Build data models supporting:
• Operational systems
• Real-time applications
• Data warehouse and analytical platforms
• Apply advanced modeling techniques such as:
• Entity-Relationship (ER) modeling
• Dimensional modeling
• Data Vault modeling
• Business process modeling
Data Architecture & Optimization
• Develop optimized data designs to:
• Ensure data consistency and reusability
• Minimize redundancy and duplication
• Improve query performance and data accessibility
• Align data models with enterprise data architecture standards
🔹 Tools & Implementation
• Create and maintain models using tools such as:
• ERWin Data Modeler
• ERStudio
• IBM InfoSphere Data Architect (IDA)
• Work on cloud-based data architectures (GCP preferred)
• Manage version control and collaboration using:
• Git, Jira, Confluence
Data Mapping & Integration
• Design and map business entities and attributes across:
• Operational Insights Hub (OIH)
• Develop mappings between:
• Logical and physical data structures
• Source-to-target data transformations
Collaboration & Communication
• Work closely with Architects, Data engineers, Business stakeholders
• Use data modeling to create a common data language across teams
• Deliver solutions in Agile development environments
🔹 Advanced Responsibilities
• Handle ambiguous requirements and define modeling strategies
• Support integration with enterprise systems such as: ServiceNow, SolarWinds, Tanium / Forescout, Market Ops Tracker
• Ensure data governance, quality, and compliance standards
Experience
• 7–9 years of experience in data and analytics
• Minimum 5+ years in data modeling roles
• Proven experience in:
• Data warehousing
• Operational Data Stores (ODS)
• Real-time data systems
Technical Skills
Strong expertise in:
• Data modeling techniques (ER, Dimensional, Data Vault)
• Data architecture and governance
• Hands-on experience with: ERWin, ERStudio, IBM IDA
• Strong SQL and programming skills
• Experience in GCP cloud data platforms (preferred)
• Healthcare domain experience (mandatory)
• Understanding of operational insights and enterprise data ecosystems
Data Modeler
Location: St. Louis, MO (Remote)
Experience: 7+Years
Primary Skill: Data Governance – Data Modeling – Erwin Data Modeler
Role Overview
We are seeking an experienced Data Modeler to design, develop, and manage enterprise data models supporting operational, real-time, and analytical solutions. This role requires strong expertise in data modeling techniques, healthcare domain knowledge, and cloud-based data architecture (GCP preferred).
The ideal candidate will collaborate with cross-functional teams to translate business requirements into scalable data models and ensure alignment with enterprise data strategy. The role demands a hands-on professional with expertise in Operational Insights platforms, data mapping, and advanced modeling tools.
Key Responsibilities
Data Modeling & Design
• Design, develop, and maintain conceptual, logical, and physical data models
• Build data models supporting:
• Operational systems
• Real-time applications
• Data warehouse and analytical platforms
• Apply advanced modeling techniques such as:
• Entity-Relationship (ER) modeling
• Dimensional modeling
• Data Vault modeling
• Business process modeling
Data Architecture & Optimization
• Develop optimized data designs to:
• Ensure data consistency and reusability
• Minimize redundancy and duplication
• Improve query performance and data accessibility
• Align data models with enterprise data architecture standards
🔹 Tools & Implementation
• Create and maintain models using tools such as:
• ERWin Data Modeler
• ERStudio
• IBM InfoSphere Data Architect (IDA)
• Work on cloud-based data architectures (GCP preferred)
• Manage version control and collaboration using:
• Git, Jira, Confluence
Data Mapping & Integration
• Design and map business entities and attributes across:
• Operational Insights Hub (OIH)
• Develop mappings between:
• Logical and physical data structures
• Source-to-target data transformations
Collaboration & Communication
• Work closely with Architects, Data engineers, Business stakeholders
• Use data modeling to create a common data language across teams
• Deliver solutions in Agile development environments
🔹 Advanced Responsibilities
• Handle ambiguous requirements and define modeling strategies
• Support integration with enterprise systems such as: ServiceNow, SolarWinds, Tanium / Forescout, Market Ops Tracker
• Ensure data governance, quality, and compliance standards
Experience
• 7–9 years of experience in data and analytics
• Minimum 5+ years in data modeling roles
• Proven experience in:
• Data warehousing
• Operational Data Stores (ODS)
• Real-time data systems
Technical Skills
Strong expertise in:
• Data modeling techniques (ER, Dimensional, Data Vault)
• Data architecture and governance
• Hands-on experience with: ERWin, ERStudio, IBM IDA
• Strong SQL and programming skills
• Experience in GCP cloud data platforms (preferred)
• Healthcare domain experience (mandatory)
• Understanding of operational insights and enterprise data ecosystems






