Data Systems Architect (0078511)

University of Hawaii•Honolulu, HI

8d•Onsite

About The Position

The Data Systems Architect serves as the lead technical architect, principal technical resource, and subject matter expert for Hawai'i P-20's statewide longitudinal data systems (SLDS), enterprise data infrastructure, and related information systems. The role designs, develops, implements, maintains, and optimizes enterprise data platforms, architectures, and integration frameworks for cross-sector data sharing, analytics, reporting, research, and public information dissemination. It also evaluates and manages cloud, hybrid, and on-premises infrastructure, and collaborates with partner agencies and stakeholders on business requirements, source systems, data flows, and modernization opportunities. The position establishes and supports enterprise data management, metadata, governance, data quality, security, identity resolution, record linkage, and cross-sector integration capabilities. It develops workforce intelligence, longitudinal analytics, reporting, research environments, business intelligence tools, dashboards, websites, APIs, visualizations, and other information products. The role also provides technical infrastructure for performance measurement, program evaluation, accountability reporting, policy research, and public information services, and supports advanced analytics and emerging methodologies as appropriate. The Data Systems Architect oversees production operations and lifecycle activities, including incident management, deployments, change management, disaster recovery, business continuity, retention, and archiving. The position maintains technical and operational documentation; serves as a technical liaison and consultant to staff, agencies, researchers, vendors, and other stakeholders; supervises and mentors assigned technical staff and project participants; coordinates vendor and contractor work; and evaluates emerging technologies and best practices. Other duties as assigned.

Requirements

Bachelor's degree in Information Systems, Computer Science, Data Science, Information Technology, Engineering, Mathematics, or Statistics, and six years of progressively responsible professional information technology experience in information systems, data management, data engineering, systems analysis, database administration, software development, business intelligence, or analytics. Two years of the experience must be comparable in scope and complexity to the next lower pay band in the University of Hawai'i broadband system; an equivalent combination of education and/or professional work experience may qualify.
Advanced and comprehensive knowledge of developing and emerging information technology concepts, principles, and methodologies in information systems, data management, data engineering, systems analysis, database administration, software development, business intelligence, or analytics.
Comprehensive knowledge of interactive and integrated technology, systems, hardware, and software associated with information systems, data management, data engineering, systems analysis, database administration, software development, business intelligence, or analytics.
Ability to understand problems from a broad interactive perspective, reason through underlying principles and issues, and apply creative thinking to resolve problems in new and unprecedented ways.
Written and verbal competence in presenting ideas, concepts, and models clearly, using persuasion and negotiation to build consensus and cooperation.
Ability to establish and maintain effective working relationships with internal and external organizations, groups, team leaders and members, and individuals.
For supervisory work, ability to lead subordinates, manage work priorities and projects, and manage employee relations.
Demonstrated experience designing, implementing, and supporting enterprise data systems, data integration solutions, analytics platforms, reporting systems, and related technologies.
Demonstrated experience with enterprise data architecture, data governance, metadata management, master data management, identity resolution, record linkage, information security, and cloud or hybrid technology environments.
Ability to analyze complex requirements, design scalable solutions, establish technical standards, provide technical leadership, and coordinate technical staff, vendors, consultants, and project participants.

Nice To Haves

Master's degree from an accredited college or university in Information Systems, Computer Science, Data Science, Business Analytics, Public Administration, Educational Research, Statistics, Engineering, or a related field.
Experience supporting statewide longitudinal data systems (SLDS), education data systems, workforce data systems, research data environments, or other large-scale integrated data systems.
Experience working in the public sector, higher education, K–12 education, workforce development, research, or multi-agency collaborative environments.
Experience supporting research, program evaluation, accountability reporting, workforce intelligence, performance measurement, policy analysis, or evidence-based decision-making initiatives.
Experience implementing enterprise data management practices, including metadata management, data governance, master data management, identity resolution, record linkage, information security, privacy, compliance, disaster recovery, and business continuity.
Experience supporting secure research environments, controlled-access data environments, or research data management infrastructures.
Professional certifications related to data management, database administration, cloud computing, project management, information security, analytics, or related fields.

Responsibilities

Serve as lead technical architect, principal technical resource, and subject matter expert for Hawai'i P-20's SLDS, enterprise data infrastructure, and related information systems.
Design, develop, implement, maintain, and optimize enterprise data platforms, architectures, and integration frameworks for data sharing, analytics, reporting, research, and public information dissemination.
Develop and support data integration, interoperability, automation, and secure data exchange solutions, including ETL/ELT processes, APIs, workflow orchestration, and related services.
Evaluate, implement, and manage cloud, hybrid, and on-premises infrastructure.
Collaborate with partner agencies and stakeholders to analyze business requirements, source systems, data flows, and modernization opportunities.
Develop and maintain metadata management, data catalogs, business glossaries, data lineage, data stewardship, business rules, validation standards, data quality controls, and linkage methodologies.
Design and support master data management, identity resolution, record linkage, unique person identifiers, and cross-sector integration processes.
Develop and support workforce intelligence, longitudinal analytics, reporting, and information dissemination capabilities.
Provide technical infrastructure and support for performance measurement, program evaluation, accountability reporting, policy research, and public information services.
Develop and maintain secure research environments, analytics platforms, business intelligence tools, dashboards, websites, APIs, data visualizations, and related information products.
Support advanced analytics, predictive modeling, artificial intelligence, machine learning, and other emerging analytical methodologies, as appropriate.
Ensure compliance with applicable security, privacy, confidentiality, records management, and data governance requirements.
Develop and maintain security controls, access management processes, auditing capabilities, governance workflows, technical standards, operational procedures, and safeguards.
Oversee production operations, incident management, deployment, change management, disaster recovery, business continuity, data retention, archival, and lifecycle management.
Develop and maintain technical, operational, metadata, and system documentation to support sustainability, knowledge transfer, and continuity of operations.
Serve as technical liaison and consultant to Hawai'i P-20 personnel, partner agencies, researchers, vendors, consultants, and other stakeholders.
Supervise, assign, direct, monitor, review, and evaluate the work of assigned technical staff, contractors, and project participants.
Provide technical leadership, mentoring, coaching, training, and consultation regarding enterprise data systems, data management, analytics, reporting, and related technologies.
Coordinate work performed by vendors, consultants, contractors, implementation partners, and other stakeholders supporting Hawai'i P-20 technology initiatives.
Evaluate emerging technologies and best practices and participate in relevant professional activities.
Perform other duties as assigned.