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Enterprise Data Architect

5 months ago

Richmond, United States Cynet Systems Full time
Job Description:

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.
  • ddress data-related problems in regard to systems integration, compatibility, and multiple-platform integration.
  • ct 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 Client 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.
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.
  • bility 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.