Enterprise Data Architect

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 Objective 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. Duties and Responsibilities 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, PeopleSoft, 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 Required Qualifications 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, WebSphere, 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 knowledge of current systems software, protocols, and standards, including FTPS Experience with data processing flowcharting techniques Proven project management experience Good knowledge of applicable data privacy practices and laws Strong written and oral communication skills Strong presentation and interpersonal skills Ability to present ideas in user-friendly language Ability to lead a team in multiple projects Physical Demands The physical demands listed below represent those necessary to perform the essential functions of this role. Reasonable accommodation may be provided to enable individuals with disabilities to perform these functions. The employee is regularly required to sit, use their hands, reach with arms, and communicate verbally and orally. Occasional standing, walking, and lifting of objects up to 25 pounds are required. Vision requirements include close, distance vision, and focus adjustment. Eligibility Laptop: Yes Remote/Hybrid Work: Yes Cell Phone Reimbursement: Yes Vehicle Reimbursement: No Incentive(s): Yes

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