Feuji

Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler on a contract basis, with a competitive pay rate. Key skills include Data Modeling, Snowflake, and Data Governance. Experience in data architecture and quality assurance is essential. Location: "Remote".
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date
February 27, 2026
🕒 - 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
United States
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🧠 - Skills detailed
#Data Quality #Version Control #Data Profiling #Snowflake #Documentation #Data Modeling #Data Analysis #Data Warehouse #Data Governance #Data Engineering #"ETL (Extract #Transform #Load)" #Physical Data Model #Data Architecture #Data Stewardship
Role description
Requirements & Scope of Responsibility • Partners closely with data analysts and data engineers to review new source system data and evaluate alignment with the enterprise curated data model. • Adheres to standards, patterns, and best practices for logical and physical data modeling within the enterprise ecosystem. • Analyzes source-to-target mappings and proposes enhancements to core data entities, attributes, and relationships to ensure model extensibility and consistency across domains. • Authors new entities and model changes in SQLDBM (or equivalent modeling tool), maintaining forward-engineering alignment with the Snowflake data warehouse. • Oversees version control, change tracking, and documentation for all model updates, ensuring enterprise visibility and traceability. • Participates in cross-functional design sessions with data analysts, data architects, and business stakeholders to validate model updates and ensure they meet analytical and operational use cases. • Conducts data profiling and collaborates with engineering teams to ensure data quality, completeness, and conformance to model standards. • Provides guidance and guardrails for integrating new data sources into curated layers, balancing flexibility for analytic needs with adherence to enterprise modeling principles. • Works collaboratively with data governance to align model naming conventions, business term definitions, and approved entity relationships. Explicit Non-Ownership (Out of Scope) • Does not own business logic, KPIs, or analytic definitions (these are governed by data analysts or business partners). • Does not execute or manage ETL/ELT pipelines beyond providing transformation logic requirements and model integration guidance. • Does not directly own data quality operations or issue remediation; partners with data engineering or data stewardship teams for action. • Does not act as a project manager or backlog owner for analytics or reporting deliverables. • Does not determine business requirements or success metrics beyond providing technical feasibility and model impact assessments.