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Senior Data Modeler
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Senior Data Modeler
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Go Intellects Inc is seeking a senior Data Modeler for the Virginia Department of Transportation (VDOT) Information Technology Division. The role involves developing data models for data assets and implementing a cloud-based data management platform, optimizing data systems, and ensuring compliance with data governance processes. 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. Qualifications: Required: • Experience in writing queries (SQL, Python, R, Scala) as needed • Experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks • Strong written and oral communication skills • Strong presentation and interpersonal skills • Ability to present ideas in user-friendly language • Good knowledge of applicable data privacy practices and laws • 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 • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity • Perform data profiling and analysis for maintaining data models • 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 • Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture • Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model • Translate business needs into data models • Build logical and physical data models for client hierarchy • Document data designs for team • Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules • Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency • Maintain logical and physical data models along with accurate metadata • Review modifications of existing cross-compatibility systems • Develop best practices for Data Asset development, ensure consistency within the system Company: A fast growing IT consulting, services and support organization focused on innovation and quality. Founded in 2007, the company is headquartered in Washington, District of Columbia, USA, with a team of 2-10 employees. The company is currently Early Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Modeler” roles.
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Senior Data Modeler
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Senior Data Modeler
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Go Intellects Inc is seeking a senior Data Modeler for the Virginia Department of Transportation (VDOT) Information Technology Division. The role involves developing data models for data assets and implementing a cloud-based data management platform, optimizing data systems, and ensuring compliance with data governance processes. 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. Qualifications: Required: • Experience in writing queries (SQL, Python, R, Scala) as needed • Experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks • Strong written and oral communication skills • Strong presentation and interpersonal skills • Ability to present ideas in user-friendly language • Good knowledge of applicable data privacy practices and laws • 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 • Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity • Perform data profiling and analysis for maintaining data models • 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 • Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture • Present and communicate modeling results and recommendations to internal stakeholders and Development teams and explains features that may affect the physical data model • Translate business needs into data models • Build logical and physical data models for client hierarchy • Document data designs for team • Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules • Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency • Maintain logical and physical data models along with accurate metadata • Review modifications of existing cross-compatibility systems • Develop best practices for Data Asset development, ensure consistency within the system Company: A fast growing IT consulting, services and support organization focused on innovation and quality. Founded in 2007, the company is headquartered in Washington, District of Columbia, USA, with a team of 2-10 employees. The company is currently Early Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Modeler” roles.
Junior Full Stack Software Engineer (JAVA)
Washington, DC $80,000.00-$120,000.00 5 days ago Fort Meade, MD $12,000.00-$150,000.00 1 month ago Annapolis Junction, MD $3,000.00-$5,250.00 1 week ago Junior Software Engineer - Fully Cleared (Prime)
Annapolis Junction, MD $127,000.00-$167,000.00 4 weeks ago Fort Meade, MD $70,000.00-$100,000.00 1 month ago Columbia, MD $70,000.00-$190,000.00 1 week ago Junior F/E Software Engineer (Hybrid) - 23684
Columbia, MD $89,769.00-$130,000.00 5 days ago Columbia, MD $70,000.00-$190,000.00 1 week ago Annapolis Junction, MD $130,000.00-$270,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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