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Enterprise Data Architect

Job in Asheville, Buncombe County, North Carolina, 28814, USA
Listing for: KEMBA Financial Credit Union
Full Time position
Listed on 2026-08-15
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

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

Status:
Exempt

Objective

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, 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
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…
Position Requirements
5+ Years work experience
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