Senior Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#Snowflake #Version Control #Data Review #Agile #Databases #Physical Data Model #ERWin #Data Modeling
Role description
Senior Data Modeler We’re looking for a Senior Data Modeler to join our clients team and play a key role in shaping the quality and implementation of software products. If you thrive in an Agile environment, bring strong engineering best practices, and have experience in banking products (Deposits, Loans, Core Banking applications), this role is for you. What You’ll Do β€’ Design and maintain Conceptual, Logical, and Physical Data Models to support business needs. β€’ Work on semantic and ontological modeling to structure and standardize enterprise data. β€’ Gather, publish, and manage data dictionaries. β€’ Capture and document models from existing databases, ensuring version control and reusability. β€’ Partner with App Dev teams and DBAs to align data models with applications and architecture. β€’ Present designs to the Data Review Board (DRB) for review and approval. β€’ Generate and validate DDL implementations. β€’ Identify opportunities to reduce redundancy and promote data reuse across the enterprise. What You’ll Bring β€’ 8+ years of hands-on data modeling experience (Semantic, Logical, Conceptual). β€’ Proven expertise with Snowflake and Erwin modeling tools. β€’ Strong background with banking products (Deposits, Loans, Core Banking). β€’ Solid understanding of system architecture, design, and software development life cycle. β€’ Familiarity with Agile methodologies and modern software engineering practices. β€’ Ability to collaborate in large, cross-functional teams while driving innovation. β€’ Awareness of industry trends and best practices in data modeling and enterprise architecture.