Enterprise Data Architect

Job Description

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 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

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

#CRPKMB

Full-time