Data Modeler

Data Modeler Contract Length: 6+ months

Location: Dallas, Texas (hybrid 3 days onsite) ****LOCAL CANDIDATES ONLY****

We are seeking a skilled Data Modeler to join our client's Data Architecture team. This role is responsible for designing, developing, and maintaining enterprise data models that support business operations, analytics, and strategic initiatives. The ideal candidate has expertise with erwin Data Modeler, Oracle, and Microsoft SQL Server, along with experience developing scalable, high-quality data solutions. Working closely with data architects, DBAs, ETL developers, and business stakeholders, the Data Modeler translates complex business requirements into well-structured data models that align with enterprise data governance, performance, and integration standards.

The successful candidate is analytical, detail-oriented, and collaborative, with a proactive mindset and a passion for solving complex data challenges. This fast-paced, highly collaborative team values innovation, accountability, and continuous improvement, offering the opportunity to work on challenging enterprise initiatives alongside experienced data professionals.

Qualifications4+ years of hands-on data modeling experience in enterprise environments

Advanced proficiency with erwin Data Modeler (version 9.x or higher preferred), including subject areas, model templates, and DDL generation

Strong experience with Oracle databases (11g/12c/19c/21c) and Microsoft SQL Server (2016 or newer)

Advanced SQL skills with extensive knowledge of DDL, including creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views

Strong understanding of database internals, including indexing strategies, partitioning, clustering, and query execution plans

Experience with data modeling best practices, including normalization, denormalization, surrogate keys, slowly changing dimensions (SCD), and Data Vault (preferred)

Experience using version control tools such as Git and model comparison/diff tools

Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical audiences

Self-motivated with strong organizational and multitasking abilities

Collaborative team player with a proactive, solution-oriented mindset

Experience with Hadoop and/or MongoDB is a plus

Experience supporting large-scale enterprise data environments is preferred

ResponsibilitiesDesign, develop, and maintain conceptual, logical, and physical data models using erwin Data Modeler

Create, review, and optimize DDL scripts for database objects including tables, views, indexes, constraints, partitions, and other database structures

Perform forward and reverse engineering of Oracle and SQL Server databases.

Collaborate with data architects, database administrators, ETL developers, and business stakeholders to gather, analyze, and refine business requirements

Develop data models that adhere to normalization standards (3NF/BCNF) while maintaining data quality, integrity, and referential integrity

Support dimensional modeling initiatives, including star and snowflake schemas for data warehousing and analytics

Conduct data model reviews, impact analysis, and version control using erwin or comparable modeling tools

Participate in data governance initiatives, including metadata management, data lineage, and naming standards

Optimize data models for performance, scalability, and maintainability across enterprise environments

Support database migrations, schema comparisons, and synchronization across Development, QA, and Production environments

Assist with optimizing existing enterprise data solutions

Follow established Data Governance and Information Classification & Protection policies

Participate in architecture and design reviews while collaborating closely with the Data Architecture team

Genius Road, LLC is proud to be a Certified Women s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.