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
- 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
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