PRI Global
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include data modeling, ETL processes, advanced SQL, and experience with AWS, Azure, or GCP. Industry experience in data governance is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 25, 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
Texas, United States
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🧠 - Skills detailed
#ERWin #Data Analysis #Scala #Tableau #Data Architecture #Metadata #Data Engineering #Data Modeling #Data Pipeline #Data Governance #Data Quality #Leadership #Big Data #"ETL (Extract #Transform #Load)" #Documentation #SQL (Structured Query Language) #AWS (Amazon Web Services) #Physical Data Model #Agile #Databases #Scrum #NoSQL #Azure #BI (Business Intelligence) #Microsoft Power BI #GCP (Google Cloud Platform)
Role description
Seeking an experienced Data Modeler to design, develop, and maintain enterprise data models that support business and analytics needs. The ideal candidate will collaborate with stakeholders, data engineers, and architects to ensure scalable, high-quality, and well-governed data solutions.
Key Responsibilities:
• Design and maintain conceptual, logical, and physical data models.
• Gather and translate business requirements into scalable data solutions.
• Define and enforce data modeling standards and best practices.
• Partner with data engineering teams to optimize data pipelines and architecture.
• Perform data analysis, profiling, and data quality assessments.
• Create and maintain data model documentation and metadata.
• Mentor junior team members and provide technical leadership.
Required Skills:
• Strong expertise in data modeling, data warehousing, and ETL/ELT processes.
• Experience with tools such as Erwin, IBM InfoSphere Data Architect, or similar.
• Advanced SQL and relational database knowledge.
• Familiarity with NoSQL databases and big data technologies.
• Excellent analytical, problem-solving, and communication skills.
• Experience with AWS, Azure, or GCP.
• Knowledge of data governance and data quality frameworks.
• Familiarity with Tableau, Power BI, or similar tools.
• Agile/Scrum experience.
Seeking an experienced Data Modeler to design, develop, and maintain enterprise data models that support business and analytics needs. The ideal candidate will collaborate with stakeholders, data engineers, and architects to ensure scalable, high-quality, and well-governed data solutions.
Key Responsibilities:
• Design and maintain conceptual, logical, and physical data models.
• Gather and translate business requirements into scalable data solutions.
• Define and enforce data modeling standards and best practices.
• Partner with data engineering teams to optimize data pipelines and architecture.
• Perform data analysis, profiling, and data quality assessments.
• Create and maintain data model documentation and metadata.
• Mentor junior team members and provide technical leadership.
Required Skills:
• Strong expertise in data modeling, data warehousing, and ETL/ELT processes.
• Experience with tools such as Erwin, IBM InfoSphere Data Architect, or similar.
• Advanced SQL and relational database knowledge.
• Familiarity with NoSQL databases and big data technologies.
• Excellent analytical, problem-solving, and communication skills.
• Experience with AWS, Azure, or GCP.
• Knowledge of data governance and data quality frameworks.
• Familiarity with Tableau, Power BI, or similar tools.
• Agile/Scrum experience.
