

Sr Data Modeler Richmond VA
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Modeler in Richmond, VA, with a 6-month contract and a pay rate of "unknown." Key skills include 10 years of experience in data modeling, SQL, Python, and MDM toolkit. Hybrid work location.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 26, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Richmond, VA
-
π§ - Skills detailed
#R #Security #Synapse #Physical Data Model #Data Reconciliation #Scala #Azure #Databricks #Metadata #Data Accuracy #Snowflake #Data Profiling #Disaster Recovery #SQL Server #Data Privacy #Data Security #Conceptual Data Model #Oracle #Data Design #Data Quality #MDM (Master Data Management) #Compliance #SQL (Structured Query Language) #Python #Data Architecture
Role description
Hi,
Hope you are doing good.
This is Shahbaz from Prodware Solutions LLC. We have a role which closely matches your skill set. Please go through the job description below and let me know if you or anyone who is looking for a good opportunity. You can reach me on 848-305-2591.
Position:- Sr Data Modeler Richmond VA Hybrid
Duration: 6 months
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.
Responsibilities:
β’ Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.
β’ Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.
β’ Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model.
β’ Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture.
β’ Perform data profiling/analysis activities that helps to establish, modify and maintain data model.
β’ Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.
β’ Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.
β’ 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.
β’ Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
β’ Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.
β’ Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
β’ Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.Β· Ensure that data strategies and architectures are in regulatory compliance.
β’ Good knowledge of applicable data privacy practices and laws.
β’ Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language.
β’ 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
Skill
Required/Desired
Years Used
Last Used
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.
Required β 10 years
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.
Required β 10 years
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect th
Required β 10 years
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.
Required β 10 years
Perform data profiling/analysis activities that helps to establish, modify and maintain data model
Required β 10 years
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.
Required β 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
Required β 10 years
Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.
Required β 10 years
β’ Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
Required β 10 years
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.
Required β 10 years
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
Required β 10 years
Thanks!!i!!
Shahbaz Shaikh
Lead Talent Acquisition Specialist
Prodware Solutions LLC | Certified MBE by NMSDC
ORACLE Gold Partner
Office: 848-305-2591
Email: Shahbazshaikh@prodwaresol.com
Website: www.prodwaresol.com
LinkedIn: linkedin.com/in/shahbaz-shaikh-35803741
Hi,
Hope you are doing good.
This is Shahbaz from Prodware Solutions LLC. We have a role which closely matches your skill set. Please go through the job description below and let me know if you or anyone who is looking for a good opportunity. You can reach me on 848-305-2591.
Position:- Sr Data Modeler Richmond VA Hybrid
Duration: 6 months
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.
Responsibilities:
β’ Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.
β’ Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.
β’ Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model.
β’ Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture.
β’ Perform data profiling/analysis activities that helps to establish, modify and maintain data model.
β’ Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.
β’ Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.
β’ 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.
β’ Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
β’ Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.
β’ Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
β’ Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.Β· Ensure that data strategies and architectures are in regulatory compliance.
β’ Good knowledge of applicable data privacy practices and laws.
β’ Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language.
β’ 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
Skill
Required/Desired
Years Used
Last Used
Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules.
Required β 10 years
Translate business needs into data models Build logical and physical data models for client hierarchy Document data designs for team.
Required β 10 years
Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect th
Required β 10 years
Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.
Required β 10 years
Perform data profiling/analysis activities that helps to establish, modify and maintain data model
Required β 10 years
Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.
Required β 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
Required β 10 years
Implement business rules for data reconciliation and deduplication Enforce data models and naming standards across deliverables.
Required β 10 years
β’ Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
Required β 10 years
Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.
Required β 10 years
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
Required β 10 years
Thanks!!i!!
Shahbaz Shaikh
Lead Talent Acquisition Specialist
Prodware Solutions LLC | Certified MBE by NMSDC
ORACLE Gold Partner
Office: 848-305-2591
Email: Shahbazshaikh@prodwaresol.com
Website: www.prodwaresol.com
LinkedIn: linkedin.com/in/shahbaz-shaikh-35803741