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Data Modeler
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Jobs via Dice . Dice is the leading career destination for tech experts at every stage of their careers. Our client, United IT Solutions, is seeking the following. Apply via Dice today! 5+ years of experience in data modeling with at least 2+ years working with Snowflake. Strong expertise in dimensional modeling, star/snowflake schemas, third normal form (3NF), and denormalized structures. Design and implement conceptual, logical, and physical data models in Snowflake. Experience with data modeling tools such as Erwin, ER/Studio. Translate business requirements into efficient and optimized data structures and schemas. Collaborate with data architects and data engineers to align models with ETL/ELT pipelines and integration strategies. Define and manage data modeling standards, naming conventions, and metadata documentation. Develop data dictionaries, ER diagrams, and data lineage artifacts. Ensure data models are optimized for performance, storage, and maintainability in the Snowflake environment. Understanding of Azure cloud platforms. Partner with BI/Analytics teams to support reporting and dashboarding needs. Participate in data governance and data quality efforts across the organization. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development
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Data Modeler
role at
Jobs via Dice . Dice is the leading career destination for tech experts at every stage of their careers. Our client, United IT Solutions, is seeking the following. Apply via Dice today! 5+ years of experience in data modeling with at least 2+ years working with Snowflake. Strong expertise in dimensional modeling, star/snowflake schemas, third normal form (3NF), and denormalized structures. Design and implement conceptual, logical, and physical data models in Snowflake. Experience with data modeling tools such as Erwin, ER/Studio. Translate business requirements into efficient and optimized data structures and schemas. Collaborate with data architects and data engineers to align models with ETL/ELT pipelines and integration strategies. Define and manage data modeling standards, naming conventions, and metadata documentation. Develop data dictionaries, ER diagrams, and data lineage artifacts. Ensure data models are optimized for performance, storage, and maintainability in the Snowflake environment. Understanding of Azure cloud platforms. Partner with BI/Analytics teams to support reporting and dashboarding needs. Participate in data governance and data quality efforts across the organization. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Software Development
#J-18808-Ljbffr