Ensure that data strategies and architectures are in regulatory compliance.Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.Establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement.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 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.Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.Develop canonical models, Data as a service models and Knowledge of SOA to support integrations.Perform data profiling/analysis activities that helps to establish, modify and maintain data model.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.Maintain logical and physical data models along with accurate metadata. Optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. *Contractor will be responsible for purchasing parking through VDOT’s Parking Management Office or procuring their own parkingĬlient 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.Įnterprise 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 flow.ĭevelop best practices for Data Asset development, ensure consistency within the system and review modifications of existing cross-compatibility systems.

*The contract may be extended annually beyond June 30, 2024 *Candidate will be required to work ONSITE 2-3 days/week *Candidate will be required to interview ONSITE, NO exceptions

Erwin data model interview questions