Remote Enterprise Data Modeler - 12-Month Contract

Intone Inc; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Intone Inc. is seeking an experienced Data Modeler for a 12-month remote contract. You will design, develop, and maintain enterprise data models to support analytics, reporting, data warehousing, and data integration initiatives.

You will collaborate with Data Architects, Data Engineers, analysts, and governance teams to translate complex business requirements into conceptual, logical, and physical data models, including SCDs and domain models.

Qualifications

• 12+ years of experience in data management, data architecture, or related disciplines with hands-on data-modeling
• 7+ years developing conceptual, logical, and physical data models
• Deep understanding of relational and dimensional modeling, normalization, and ER modeling
• Strong knowledge of SQL and relational database concepts

Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models for enterprise data platforms and analytics solutions
• Translate complex business requirements into scalable data structures
• Develop relational, dimensional models, star/snowflake schemas, and domain-oriented models
• Define entities, attributes, relationships, keys, hierarchies, and reference data structures
• Ensure models support transactional, analytical, historical, and reporting needs
• Collaborate with Data Engineers to fit models into ETL/ELT pipelines
• Maintain documentation and enforce data-modeling standards and definitions

Skills

Enterprise data modeling

Relational & dimensional modeling

SQL proficiency

Data warehousing concepts

Star & snowflake schemas

Requirements translation

Job description

Intone Inc. is seeking an experienced Data Modeler for a 12-month remote contract. You will design, develop, and maintain enterprise data models to support analytics, reporting, data warehousing, and data integration initiatives.

You will collaborate with Data Architects, Data Engineers, analysts, and governance teams to translate complex business requirements into conceptual, logical, and physical data models, including SCDs and domain models.