Enterprise Data Modeler

Direct message the job poster from Perfict Lead Recruiter/Team Lead- Recruitment Hiring OPT/CPT/EAD/GC/USC & H1B transfers on all IT technologies About Us: Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs. We provide excellent benefits such as Medical, Dental, Vision and a fun company to work!!! Client - Virginia Department of Transportation (VDOT) Duration - 12+ Months Job Nature - Hybrid (2 to 3 Days Onsite in a week) About the Role: The Virginia Department of Transportation (VDOT) Information Technology Division 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. The Enterprise data modeler provides expert support across the enterprise information framework, analyzes and translates 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 and 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: Create conceptual data model to identify key business entities and visualize their relationships, define concepts and rules. 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 explain 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 help 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 a 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. Required Skills: 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 explain features that may affect the physical data model - 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 help to establish, modify and maintain data model - 10 Years Analyze data-related system integration challenges and propose appropriate solutions with a 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 solution - 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 Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries Staffing and Recruiting and IT Services and IT Consulting #J-18808-Ljbffr

Created: 2025-02-05