Overview
On Site
Hybrid
USD 85.00 per hour
Full Time
Skills
Cloud Computing
Data Management
Data Flow
Modeling
Physical Data Model
Management
Data Modeling
SOA
System Integration
Data Profiling
Mobile Device Management
Master Data Management
Business Rules
Data Deduplication
Meta-data Management
Data Quality
Capacity Management
Feasibility Study
Data Security
Backup
Disaster Recovery
Business Continuity Planning
Archiving
Regulatory Compliance
Privacy
Communication
Presentations
Writing
SQL
Python
R
Scala
Microsoft Azure
Microsoft SQL Server
Snow Flake Schema
Databricks
Job Details
Date Posted: 08/21/2025
Hiring Organization: Rose International
Position Number: 487410
Industry: Government/Staffing
Job Title: Enterprise Data Modeler
Job Location: Richmond, VA, USA, 23219
Work Model: Hybrid
Work Model Details: ONSITE 2-3 days per week
Shift: Regular
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 11
Min Hourly Rate($): 85.00
Max Hourly Rate($): 90.00
Must Have Skills/Attributes: Data Modeling, Databricks, Python, Scala, Snowflake, SQL Server
Experience Desired: State/Federal Government exp is highly desired (2 yrs)
Required Minimum Education: Associate's Degree
Preferred Education: Bachelor's Degree
**C2C is not available**
Job Description
Required Skill/ Experience:
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules:10 Years
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team: 10 Years
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect: 10 Years
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations: 10 Years
Perform data profiling/analysis activities that helps to establish, modify and maintain data model: 10 Years
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach:10 Years
Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol: 10 Years
Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables: 10 Years
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity: 10 Years
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement: 10 Years
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks: 10 Years
Global Candidate Requirements
ABOUT THE ROLE:
The Client is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows. Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate metadata.
KEY RESPONSIBILITIES:
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model
Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture
Perform data profiling/analysis activities that helps to establish, modify and maintain data model
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach
Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are in regulatory compliance
Good knowledge of applicable data privacy practices and laws
Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language
Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 487410
Industry: Government/Staffing
Job Title: Enterprise Data Modeler
Job Location: Richmond, VA, USA, 23219
Work Model: Hybrid
Work Model Details: ONSITE 2-3 days per week
Shift: Regular
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 11
Min Hourly Rate($): 85.00
Max Hourly Rate($): 90.00
Must Have Skills/Attributes: Data Modeling, Databricks, Python, Scala, Snowflake, SQL Server
Experience Desired: State/Federal Government exp is highly desired (2 yrs)
Required Minimum Education: Associate's Degree
Preferred Education: Bachelor's Degree
**C2C is not available**
Job Description
Required Skill/ Experience:
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules:10 Years
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team: 10 Years
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect: 10 Years
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations: 10 Years
Perform data profiling/analysis activities that helps to establish, modify and maintain data model: 10 Years
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach:10 Years
Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM sol: 10 Years
Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables: 10 Years
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity: 10 Years
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement: 10 Years
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks: 10 Years
Global Candidate Requirements
ABOUT THE ROLE:
The Client is seeking a senior Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows. Develop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Maintain logical and physical data models along with accurate metadata.
KEY RESPONSIBILITIES:
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model
Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture
Perform data profiling/analysis activities that helps to establish, modify and maintain data model
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach
Perform data profiling and analysis for maintaining data models Develop and support the usage of MDM toolkit Integrate source systems into the MDM solution Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are in regulatory compliance
Good knowledge of applicable data privacy practices and laws
Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language
Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
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.