Enterprise Data Architect

3 months ago

Richmond, United States Crescens Full time
Job Title : Enterprise Data Architect
Location: Richmond, VA
Duration: 9+months
Type: Contract

*Local Richmond, VA candidates required due to onsite requirement *
*candidates must interview ONSITE, NO exceptions *
*This position requires onsite 3 days a week with 2 remote *

Job Description:
  • The client 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.

Required:
  • 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
  • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
  • 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 archite
  • Execute governance, stewardship, and frameworks for managing data across the organization,•Develop and promote data management methodologies
  • 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.
  • 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.
  • Hands-on experience with data architecting, data mining, largescale data modeling, and business requirements gathering/analysis.
  • Strong understanding of relational data structures, theories, principles, and practices.•Strong familiarity with metadata management
  • 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 database platforms and Understanding of Web services (SOAP, XML, UDDI, WSDL). •Object oriented programming experience (e.g, WebSphere
  • Experience with data processing flowcharting techniques. 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.

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