| Need Locals to VA Enterprise Data Architect @ Richmond, VA (Hybrid) at Richmond, Virginia, USA |
| Email: [email protected] |
| Hi Greetings from Canopy One Solutions, Please go through below requirement if you are comfortable, please share your updated resume to my email id: [email protected] Position: Enterprise Data Architect Location: 1221 East broad Street, Richmond, VA 23219 (Hybrid)Need Locals to VA Candidates Experience:15+ In person *local Richmond, VA candidates needed due to onsite requirement **candidates must interview ONSITE, NO exceptions **This position requires onsite 3 days a week with 2 remote **Contractor will be responsible for purchasing parking through VDOTs Parking Management Office or procuring their own parking The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a senior Data Architect to manage and oversee the development and implementation of a cloud-based data management platform that will support the agency. Enterprise data architect provides expert support across the enterprise information framework; data intake, data transformation, data quality, metadata and master data management, data virtualization, data services and consumption. The candidate must have data security, cloud infrastructure, with knowledge of transportation related data preferred. Responsibilities Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. 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, 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. Execute governance, stewardship, and frameworks for managing data across the organization, Develop and promote data management methodologies and standards. Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration. Act as a leader and advocate of data management, including coaching, training, and career development to staff. Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture. Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture. Identify and develop opportunities for data reuse, migration, or retirement. Required Skills: Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis. Direct experience in implementing enterprise data management processes, procedures, and decision support. Strong understanding of relational data structures, theories, principles, and practices. Strong familiarity with metadata management and associated processes. Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools. Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on. Ability to manage data and metadata migration. Experience with database platforms and Understanding of Web services (SOAP, XML, UDDI, WSDL). Object oriented programming experience (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.). Experience with data processing flowcharting techniques. Good knowledge of applicable data privacy practices and laws. Personal Attributes: Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language. Please list the candidate's email address. In what city and state does your candidate PERMANENTLY reside Is the candidate available to interview ONSITE in Richmond, VA This is REQUIRED. Is the candidate available to work in Richmond, VA at least 3 days/wk This is REQUIRED. How soon after an offer can your candidate start SKILL YEARS USED LAST USED Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. Required 10 Years Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. Required 10 Years Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Required 10 Years Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. Required 10 Years Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Required 10 Years Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and archite Required 10 Years Execute governance, stewardship, and frameworks for managing data across the organization, Develop and promote data management methodologies Required 10 Years Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Required 10 Years Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Required 10 Years Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture. Required 10 Years Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture. Required 10 Years Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis. Required 10 Years Strong understanding of relational data structures, theories, principles, and practices. Strong familiarity with metadata management Required 10 Years Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools. Required 10 Years Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Required 10 Years Experience with database platforms and Understanding of Web services (SOAP, XML, UDDI, WSDL). Object oriented programming experience (e.g, WebSphere Required 5 Years Experience with data processing flowcharting techniques. Good knowledge of applicable data privacy practices and laws. Required 8 Years Strong written and oral communication skills. Strong presentation and interpersonal skills and Ability to present ideas in user-friendly language. Required 10 Years Ravi Kumar Danda Tel:703-831-8282 Ext.2570 Email: [email protected] Web:www.canopyone.com -- Keywords: information technology golang Idaho Virginia |
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| Sat Aug 26 01:38:00 UTC 2023 |