SPADTEK SOLUTIONS
Lead Data Modeler: IV
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Modeler: IV, offering a remote contract for candidates with over 10 years of experience in data modeling, specifically using ERWIN. Key skills include databases, data warehouses, and data integrity.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Physical Data Model #Metadata #Data Modeling #Data Integrity #Data Warehouse #Databases #Data Profiling #ERWin #Database Performance
Role description
Job title : Lead Data Modeler: IV
Location: Remote
Description
• More than 10 Years of Data Modeling Experience with experience on ERWIN tool
• Analyze organizational data needs and design models that support business processes.
• Develop conceptual, logical, and physical data models for databases, data warehouses, and analytics systems.
• Collaborate with stakeholders to gather requirements and ensure models meet business objectives.
• Implement and maintain data modeling standards, best practices, and governance policies.
• Optimize database performance and ensure data integrity across systems.
• Conduct data profiling, analysis, and troubleshooting to identify trends, anomalies, and inefficiencies.
• Document data structures, including diagrams, definitions, and metadata.
Job title : Lead Data Modeler: IV
Location: Remote
Description
• More than 10 Years of Data Modeling Experience with experience on ERWIN tool
• Analyze organizational data needs and design models that support business processes.
• Develop conceptual, logical, and physical data models for databases, data warehouses, and analytics systems.
• Collaborate with stakeholders to gather requirements and ensure models meet business objectives.
• Implement and maintain data modeling standards, best practices, and governance policies.
• Optimize database performance and ensure data integrity across systems.
• Conduct data profiling, analysis, and troubleshooting to identify trends, anomalies, and inefficiencies.
• Document data structures, including diagrams, definitions, and metadata.
