Position: Data Modeler
Location: Dallas, TX (Onsite)
Duration: Contract
Visa: NO OPT and CPT
Required skills:
5 or more years of hands-on experience in data modeling, data architecture, or database design roles.
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 implemented consistently across our Oracle environments.
Key Responsibilitics
Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise grade data models that support critical business initiatives, analytics, and operational systems.
Nice to have skills:
Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements.
Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation).
Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios.
Working knowledge of ETL/ELT tools and data integration patterns.
Experience supporting master data management (MDM) or data governance initiatives.
Experience working with Microsoft SQL
Server
Experience working with PostGres
Data vault experience
Experience with Hadoop/MongoDB
