Data Architect - Cordova

Job Summary:

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.

Primary Functions and/or Responsibilities:

• Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, business units, and other key stakeholders.
• Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap in alignment to the Company's data governance program.
• Establishes processes for governing the identification, collection, and use of corporate metadata; takes steps to assure metadata accuracy and validity.
• Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement.
• Creates strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Conducts data capacity planning, lifecycle, duration, usage requirements, feasibility studies, and other tasks.
• Ensures data strategies and architectures are in regulatory compliance.
• Determines governance, stewardship, and frameworks for managing data across the organization.
• 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 Data Governance Manager, 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. Identifies and develops opportunities for data reuse, migration, or retirement.
• Develops, implements, and maintains policies, procedures, and development plans for enterprise architecture and infrastructure operations.
• Documents the data architecture and environment in order to maintain a current and accurate view of the larger data picture at the bank.
• Performs other duties as assigned.

Education and/or Experience:

• Four-year college degree in a related field preferred OR an equivalent combination of education and experience
• Bachelor’s degree in information technology, computer science, computer engineering or relevant field preferred
• At least 8 years of experience as technology, systems, data, or information architect
• At least 6 years of robust knowledge of enterprise architecture principles, best practices, and industry standards
• Experience in designing and implementing scalable, reliable, and secure enterprise solutions aligned with TOGAF standards
• Experience deploying and leveraging an EA Architecture Modeling Language (ArchiMate)
• Direct experience in implementing enterprise data management processes, procedures, and decision support
• Experience with business requirements analysis, entity relationship planning, database design, and reporting structures
• Experience with data processing flowcharting techniques

Specific Skills, Knowledge & Abilities:

• Strong analytical and critical thinking skills, coupled with the ability to work under pressure
• Adept at speaking in detail with the technical crowd and effective at communicating technical concepts to a non-technical audience
• Strong understanding of relational data structure, 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 lifecycle methodologies
• Excellent customer/user interaction skills to determine requirements
• In-depth technical knowledge of network, PC, and platform operating systems
• Working technical knowledge of current systems software, protocols, and standards
• Good knowledge of applicable data privacy practices and laws