SN Cloud Solutions

Metadata Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Metadata Modeler with a contract length of "unknown" and a pay rate of "unknown." The position requires in-person work and expertise in data modeling, Collibra, and data governance strategy, preferably with experience in semantic web technologies.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 26, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Mount Laurel, NJ 08054
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🧠 - Skills detailed
#Collibra #Strategy #ERWin #Data Framework #Data Governance #Scala #Data Modeling #Metadata #Data Architecture
Role description
Overview We are seeking a highly skilled Metadata Modeler to join our dynamic information management team. In this role, you will be responsible for designing, developing, and maintaining comprehensive metadata models that underpin our data architecture and knowledge management systems. Your expertise will enable us to organize complex data assets efficiently, support semantic web initiatives, and enhance data discoverability across various platforms. The ideal candidate will possess a strong background in data modeling, ontologies, and semantic web technologies, contributing to the development of scalable and interoperable metadata frameworks that align with organizational goals. Responsibilities The role requires demonstrated expertise in data governance strategy and hands-on experience with Collibra and DCAT STRENGTHS: Good data modeling knowledge Hands-on experience with Erwin Data Modeler AREAS OF CONCERN: No experience with DCAT open standards or data exchange frameworks Limited understanding of Collibra core concepts Appears to lack hands-on Collibra implementation experience RECOMMENDATION: The candidate's skill gaps in data standards and Collibra platform expertise do not align with TD Bank's job requirements, I do not recommend moving forward with this candidate. Data Governance Strategy: Unable to articulate strategic concepts or frameworks with clarity DCAT & Collibra: Lacked depth of knowledge and practical experience with these platforms Communication: Responses were hesitant and lacked confidence Concerns: Extended pauses during questioning suggested potential reliance on external resources or web rather than demonstrated expertise Answers did not reflect hands-on experience or strategic understanding Work Location: In person