Job Title: Data Modeler
Location: Dallas, TX
Duration: 12 Months
Required skills:
Expert proficiency with Erwin Data Modeler (version 9.x or higher preferred) – including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality.
Advanced SQL skills and deep understanding of Oracle (11g/12c/19c/21c) including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design.
Demonstrated experience building both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics.
Strong command of DDL – creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views.
We are seeking a Data Modeler with deep expertise in Oracle database platforms and Erwin data modeling to design, govern, and evolve enterprise data models that support mission-critical business processes. This role is responsible for translating business and analytical requirements into robust conceptual, logical, and physical data models, and for ensuring those models are implemented consistently across our Oracle environments.
Key Responsibilities
Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise grade data models that support critical business initiatives, analytics, and operational systems
