Enterprise Data Architect

KEMBA Financial Credit Union•Columbus, OH

12h•Hybrid

About The Position

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.

Requirements

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 HTTPS, 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

Responsibilities

Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other 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