Motion Recruitment
Overview
Our organization is dedicated to discovering and delivering innovative solutions that address today’s critical medical challenges and prepare for the needs of tomorrow. We aim to make a meaningful impact on people’s lives across key healthcare domains, with a focus on driving transformation through advanced data and technology solutions. We are seeking a dedicated
Data Modeler Consultant
to lead the adoption and implementation of a modern data modeling tool within a Snowflake Data Warehouse environment. The primary responsibility of this role is to reverse-engineer existing databases into the new modeling platform and enrich models by adding comprehensive metadata and clear business descriptions. This position is essential in transforming fragmented and undocumented environments into well-documented, standardized, and business-aligned data assets. Contract Duration:
6 – 12 Months Responsibilities
Reverse-engineer existing databases and translate them into the modern data modeling tool within a Snowflake environment. Enrich data models by adding comprehensive metadata and clear business descriptions. Transform fragmented and undocumented environments into well-documented, standardized, and business-aligned data assets. Collaborate with stakeholders to ensure modeling efforts align with governance, naming conventions, and data-quality best practices. Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. 3+ years of hands-on data modeling experience using tools like ER/Studio, SqlDBM, Erwin, etc., in cloud data warehouse or analytics environments (Snowflake preferred). Expertise in reverse-engineering existing databases and translating into modern data modeling tools. Strong capability in metadata management, business glossary development, and technical documentation. Familiarity with data governance concepts, naming conventions, and data quality best practices. Proficiency in SQL and database structure assessment. Excellent communication, collaboration, and stakeholder engagement skills. Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Desired Skills & Experience
Experience leading or supporting data modeling tool adoption projects. Background in large-scale data migrations or modernization efforts. Experience in regulated industries such as healthcare, pharmaceuticals, or financial services. Understanding requirements for analytics, self-service BI, and AI/ML data contexts. Posted By: Esteban Medina We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Our organization is dedicated to discovering and delivering innovative solutions that address today’s critical medical challenges and prepare for the needs of tomorrow. We aim to make a meaningful impact on people’s lives across key healthcare domains, with a focus on driving transformation through advanced data and technology solutions. We are seeking a dedicated
Data Modeler Consultant
to lead the adoption and implementation of a modern data modeling tool within a Snowflake Data Warehouse environment. The primary responsibility of this role is to reverse-engineer existing databases into the new modeling platform and enrich models by adding comprehensive metadata and clear business descriptions. This position is essential in transforming fragmented and undocumented environments into well-documented, standardized, and business-aligned data assets. Contract Duration:
6 – 12 Months Responsibilities
Reverse-engineer existing databases and translate them into the modern data modeling tool within a Snowflake environment. Enrich data models by adding comprehensive metadata and clear business descriptions. Transform fragmented and undocumented environments into well-documented, standardized, and business-aligned data assets. Collaborate with stakeholders to ensure modeling efforts align with governance, naming conventions, and data-quality best practices. Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. 3+ years of hands-on data modeling experience using tools like ER/Studio, SqlDBM, Erwin, etc., in cloud data warehouse or analytics environments (Snowflake preferred). Expertise in reverse-engineering existing databases and translating into modern data modeling tools. Strong capability in metadata management, business glossary development, and technical documentation. Familiarity with data governance concepts, naming conventions, and data quality best practices. Proficiency in SQL and database structure assessment. Excellent communication, collaboration, and stakeholder engagement skills. Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Desired Skills & Experience
Experience leading or supporting data modeling tool adoption projects. Background in large-scale data migrations or modernization efforts. Experience in regulated industries such as healthcare, pharmaceuticals, or financial services. Understanding requirements for analytics, self-service BI, and AI/ML data contexts. Posted By: Esteban Medina We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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