Enterprise Data Architect

Title:

Enterprise Data Architect

Reports to:

Chief Technology Officer

Supervises:
Business Intelligence Analyst, Data Engineer, Data Analyst, Sales & Marketing Analyst

Status:
Exempt

The role of the Enterprise Data Architect is to expand the company's use of data as a strategic enabler of corporate goals and objectives. The Enterprise Data Architect will achieve this by strategically designing, developing, and implementing data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, logical, business area, and application. This individual will act as the primary advocate of data modeling methodologies and data processing best practices.

• Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
• Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
• Establishes processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
• Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement
• Conducts data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
• Creates strategies and plans for data security, backup, disaster recovery, business continuity, and archiving
• Ensures that data strategies and architectures are in regulatory compliance
• Ensures the success of enterprise-level application rollouts (e.g. ERP, SCM, CRM, SAP, People Soft, etc.)
• Liaises with vendors and service providers to select the products or services that best meet company goals
• Assesses and determines governance, stewardship, and frameworks for managing data across the organization
• Develops and promotes data management methodologies and standards
• Selects and implements the appropriate tools, software, applications, and systems to support data technology goals
• Oversees the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
• Collaborates with project managers and business unit leaders for all projects involving enterprise data
• Addresses data-related problems in regards to systems integration, compatibility, and multiple-platform integration
• Acts as a leader and advocate of data management, including coaching, training, and career development to staff
• Develops and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
• Documents the data architecture and environment in order to maintain a current and accurate view of the larger data picture
• Identifies and develop opportunities for data reuse, migration, or retirement
• Performs all duties in a manner that is fully compliant with applicable industry regulations as well as KEMBA policy and procedures
• Develops an understanding of Credit Union history, philosophy, organization, policies, and operational procedures
• On a self-direct basis, continues to improve individual level of competency through training and certification on established educational programs
• Relates to others beyond giving and receiving instructions:
  • Communicates with coworkers or peers without exhibiting behavioral extremes
  • Performs work activities requiring negotiating, instructing, supervising, persuading, or speaking with others
  • Responds appropriately to criticism from a supervisor
• Performs other duties as required by management

• College diploma or university degree in computer science, information systems, or computer engineering
• Certifications in applicable data engineering and analytical tools
• 5 years work experience as a data or information architect
• 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
• Understanding of Web services (SOAP, XML, UDDI, WSDL)
• Object-oriented programming experience (e.g. using Java, J2EE, EJB, .NET, Web Sphere, etc.).
• Excellent client/user interaction skills to determine requirements
• In-depth technical knowledge of network, PC, and platform operating systems, including Windows, Linux, AIX
• Working technical…