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Sr Data Modeler

Nava Software Solutions

Dallas, Texas • Today

Easy Apply

Contract, Third Party

Semantic Data Modeler with AI and Ontology Expertise

Avance Consulting

Dallas, Texas • 10d ago

Easy Apply

Full-time

Data Modeler

Bravo Technical Resources

Dallas, Texas • Today

Full-time

Sr Data Architect

Nava Software Solutions

Dallas, Texas • Today

Easy Apply

Third Party, Contract

Looking for BI Designer with Data modeler 10+ Years-W2/1099-Remote

SSTech LLC

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Enterprise Data Modeler

International Solutions Group

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Data Modeler with Healthcare Experience

International Solutions Group

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior Data Modeler

Credit Acceptance Corporation

Remote • Today

Full-time

USD 114,000.00 - 167,000.00 per year

Sr.Data Modeler

Convene Inc.

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

*Data Architect* - Utility/Domain (SingleStore experience is must)

Kellton

Remote • 22d ago

Easy Apply

Contract, Third Party

Depends on Experience

Sr. Data Modeler

Republic Services, Inc.

Remote • Today

Full-time

USD 109,500.00 - 150,600.00 per year

Senior Data Architect

Genius Road, LLC

Hybrid in Dallas, Texas • Yesterday

Contract

Depends on Experience

Data Modeler

Triveni IT

Irving, Texas • Today

Easy Apply

Full-time

Job Details

Skills

Oracle
SQL
Data Modeler
Erwin
3NF

Summary

NAVA Software is looking for a Sr Data Modeler

Details:

Sr Data Modeler

Location: TX - 4 days/week onsite

Duration: 6-12 months

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. The ideal candidate is proficient in industry standard data modeling tools (with hands-on expertise in Erwin Data Modeler) and has deep experience with Oracle and SQL Server databases.
Collaborate with data architects, DBAs, ETL developers, and stakeholders to gather complex business requirements and translate them into robust, scalable, and normalized data models while ensuring alignment with data governance, performance, and integration standards.
Design and maintain conceptual, logical, and physical data models using Erwin Data Modeler, ensuring alignment with business requirements and enterprise data standards.
Develop and manage Oracle database schemas, including tables, views, indexes, partitioning strategies, and constraints derived from approved data models.
Partner with business analysts, data architects, application teams, and DBAs to gather requirements and translate them into scalable, normalized (and where appropriate, denormalized/dimensional) data structures.
Establish and enforce data modeling standards, naming conventions, and metadata management practices across projects.
Perform reverse engineering of existing Oracle databases into Erwin to document and rationalize legacy data structures.
Manage model versioning, subject areas, and complex model merges within Erwin's model management/mart environment.
Ensure data models adhere to normalization standards (3NF), data integrity, and referential integrity.
Support dimensional modeling (star/snowflake schemas) for data warehousing and analytics use cases.
Generate, review, and optimize DDL (Data Definition Language) scripts for database objects (tables, views, indexes, constraints, partitions, etc.) to support forward engineering of physical models into DDL for Oracle, and coordinate schema deployment with DBAs and other engineering teams.
Conduct data model reviews and impact assessments for proposed schema changes, ensuring referential integrity and minimizing downstream disruption.
Lead data governance and data quality initiatives to maintain a business glossary, data lineage, and metadata repository tied to the models.
Optimize data structures for performance, scalability, and maintainability within Oracle, working closely with DBAs on indexing and partitioning strategies.
Support both OLTP and data warehouse/dimensional modeling efforts (star/snowflake schemas) as needed.
Document data models thoroughly and produce data dictionaries, ER diagrams, and supporting artifacts for technical and business stakeholders.
Assist in database migrations, schema comparisons, and synchronization between environments (Dev/QA/Prod).
Follow Oncor?s Data Governance Policy and Information Classification and Protection Policy.
Participate in design reviews and take guidance from the Data Architecture team members.

Required Qualifications

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.
Solid understanding of data modeling theory: entity-relationship modeling, normalization/denormalization, cardinality, keys, and referential integrity.
Solid grasp of database internals: indexing strategies, partitioning, clustering, and query execution plans.
Experience with data modeling best practices: normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD)
Experience producing and maintaining data dictionaries, metadata, and data lineage documentation.
Familiarity with version control (e.g., Git) and model comparison/diff tools.
Excellent communication skills with the ability to clearly explain modeling decisions to both technical and non-technical audiences.
Self-Motivated, with an ability to multi-task
Works well in a team environment

Preferred Qualifications

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91099831
Position Id: 2026-2509
Posted 2 hours ago

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Job Description Role: Data Modeler Location: Dallas TX - Hybrid 2-3 days onsite Employment Type: 6 Months + Overview We're seeking an experienced Data Modeler to design and maintain enterprise data models supporting critical business, analytics, and operational systems. The ideal candidate will have strong erwin Data Modeler, Oracle, and SQL Server experience. Key Responsibilities Design conceptual, logical, and physical data models using erwin Data Modeler. Create, review, and optimize DDL s

Full-time

Data Modeler

Dallas, Texas

•

Today

Join a dynamic team as a Data Modeler focused on building enterprise-grade data models that support analytics, operations, and critical business initiatives. This role offers the opportunity to work with modern data modeling tools and collaborate across architecture, development, and governance functions in a hybrid onsite environment. Responsibilities Design conceptual, logical, and physical data models using Erwin Data Modeler. Create, review, and refine DDL for database objects such as tabl

Full-time

Job Details

Skills

Oracle
SQL
Data Modeler
Erwin
3NF

Summary

NAVA Software is looking for a Sr Data Modeler

Details:

Sr Data Modeler

Location: TX - 4 days/week onsite

Duration: 6-12 months

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. The ideal candidate is proficient in industry standard data modeling tools (with hands-on expertise in Erwin Data Modeler) and has deep experience with Oracle and SQL Server databases.
Collaborate with data architects, DBAs, ETL developers, and stakeholders to gather complex business requirements and translate them into robust, scalable, and normalized data models while ensuring alignment with data governance, performance, and integration standards.
Design and maintain conceptual, logical, and physical data models using Erwin Data Modeler, ensuring alignment with business requirements and enterprise data standards.
Develop and manage Oracle database schemas, including tables, views, indexes, partitioning strategies, and constraints derived from approved data models.
Partner with business analysts, data architects, application teams, and DBAs to gather requirements and translate them into scalable, normalized (and where appropriate, denormalized/dimensional) data structures.
Establish and enforce data modeling standards, naming conventions, and metadata management practices across projects.
Perform reverse engineering of existing Oracle databases into Erwin to document and rationalize legacy data structures.
Manage model versioning, subject areas, and complex model merges within Erwin's model management/mart environment.
Ensure data models adhere to normalization standards (3NF), data integrity, and referential integrity.
Support dimensional modeling (star/snowflake schemas) for data warehousing and analytics use cases.
Generate, review, and optimize DDL (Data Definition Language) scripts for database objects (tables, views, indexes, constraints, partitions, etc.) to support forward engineering of physical models into DDL for Oracle, and coordinate schema deployment with DBAs and other engineering teams.
Conduct data model reviews and impact assessments for proposed schema changes, ensuring referential integrity and minimizing downstream disruption.
Lead data governance and data quality initiatives to maintain a business glossary, data lineage, and metadata repository tied to the models.
Optimize data structures for performance, scalability, and maintainability within Oracle, working closely with DBAs on indexing and partitioning strategies.
Support both OLTP and data warehouse/dimensional modeling efforts (star/snowflake schemas) as needed.
Document data models thoroughly and produce data dictionaries, ER diagrams, and supporting artifacts for technical and business stakeholders.
Assist in database migrations, schema comparisons, and synchronization between environments (Dev/QA/Prod).
Follow Oncor?s Data Governance Policy and Information Classification and Protection Policy.
Participate in design reviews and take guidance from the Data Architecture team members.

Required Qualifications

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.
Solid understanding of data modeling theory: entity-relationship modeling, normalization/denormalization, cardinality, keys, and referential integrity.
Solid grasp of database internals: indexing strategies, partitioning, clustering, and query execution plans.
Experience with data modeling best practices: normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD)
Experience producing and maintaining data dictionaries, metadata, and data lineage documentation.
Familiarity with version control (e.g., Git) and model comparison/diff tools.
Excellent communication skills with the ability to clearly explain modeling decisions to both technical and non-technical audiences.
Self-Motivated, with an ability to multi-task
Works well in a team environment

Preferred Qualifications

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

Dice Id: 91099831
Position Id: 2026-2509
Posted 2 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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