Smart IT Frame LLC
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with a contract length of "unknown," offering a pay rate of "unknown." Key skills include data modeling, data integration, and governance, with experience in GDPR and HIPAA compliance required. Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Data Modeling #Data Mart #Metadata #Data Quality #Data Engineering #Documentation #Data Architecture #Data Integration #Data Warehouse #Security #MDM (Master Data Management) #Compliance #GDPR (General Data Protection Regulation) #Data Lake #Data Pipeline #Data Lineage #Data Documentation #"ETL (Extract #Transform #Load)" #Physical Data Model #Data Governance
Role description
Key Responsibilities:
1. Data Modeling & Architecture
• Design and implement conceptual, logical, and physical data models to support business and technical requirements.
• Develop relational, dimensional, and canonical data models for data warehouses, data lakes, and data marts.
• Translate business processes and requirements into normalized and denormalized data structures.
• Create and maintain data dictionaries, ER diagrams, and metadata documentation.
• Collaborate with data architects to align models with enterprise data architecture standards.
1. Data Integration & Governance
• Partner with ETL developers and data engineers to ensure model alignment with data pipelines and transformation logic.
• Support data quality, data lineage, and data governance initiatives across systems.
• Ensure data models comply with security, privacy, and compliance standards (e.g., GDPR, HIPAA).
• Collaborate with MDM teams to design reference data and master data structures.
Key Responsibilities:
1. Data Modeling & Architecture
• Design and implement conceptual, logical, and physical data models to support business and technical requirements.
• Develop relational, dimensional, and canonical data models for data warehouses, data lakes, and data marts.
• Translate business processes and requirements into normalized and denormalized data structures.
• Create and maintain data dictionaries, ER diagrams, and metadata documentation.
• Collaborate with data architects to align models with enterprise data architecture standards.
1. Data Integration & Governance
• Partner with ETL developers and data engineers to ensure model alignment with data pipelines and transformation logic.
• Support data quality, data lineage, and data governance initiatives across systems.
• Ensure data models comply with security, privacy, and compliance standards (e.g., GDPR, HIPAA).
• Collaborate with MDM teams to design reference data and master data structures.
