Senior Specialist IT Architect (09IT)

State of Washington•Thurston County – Olympia, WA

2d•Hybrid

About The Position

The Department of Licensing (DOL) is seeking an Enterprise Data Architect to join their Information Services Division (ISD) team. This role is crucial for shaping the future of data across DOL, a public-facing agency that generates significant revenue and interacts with millions of Washington residents. The ideal candidate will possess enterprise-level technical expertise, advanced data science skills, and a passion for solving complex data challenges. DOL is committed to fostering a culture of belonging, work-life harmony, and employee value, emphasizing respect, trust, diversity, inclusion, and equity.

Requirements

Eleven (11) years of progressively responsible experience spanning enterprise data architecture, data management, application/software development, database administration, information or operational technology consultation and strategy, data standards development, data governance, master data management, data analytics/business intelligence, and data science.
Five (5) years of progressively responsible experience applying data science principles through the design, development, implementation, or operationalization of data-driven solutions using statistical analysis, predictive modeling, machine learning, artificial intelligence, or other advanced analytical methods.
Demonstrated professional experience designing enterprise data architectures and data models.
Demonstrated professional experience developing or administering databases and data platforms.
Demonstrated professional experience engineering data pipelines or analytical environments.
Demonstrated professional experience establishing enterprise data standards, governance, or master data practices.
Ability to understand and follow agency values of respect, trust, diversity, equity, and inclusion through behaviors and decisions.
Ability to promote and support a respectful, equitable, and inclusive workplace for all employees.
Ability to promote and support respectful, equitable, and inclusive delivery of services to customers.
Ability to take action to learn and grow.
Ability to take action to meet the needs of others.
Work authorization that does not require sponsorship by the employer for a visa now or in the future.

Nice To Haves

Experience designing and leading highly complex enterprise data architectures involving data quality, analytics/business intelligence, data privacy, security, and system integration.
Certification in an enterprise architecture or data management framework, such as TOGAF or DAMA.
Experience developing, recommending, and maintaining enterprise technology policies, standards, architecture practices, and strategic roadmaps.

Responsibilities

Provide enterprise-wide leadership for DOL's data strategy, architecture, standards, and practices.
Design and guide data solutions supporting critical agency systems, advanced analytics, artificial intelligence, machine learning, and business decision-making.
Establish consistent approaches for data structuring, integration, governance, protection, and lifecycle management across business and technology teams.
Advise agency leaders, architects, developers, analysts, data scientists, and governance groups on complex data decisions.
Develop and maintain DOL's enterprise data architecture framework, reference architectures, data models, technical standards, and strategic roadmaps.
Design scalable enterprise data solutions, integration patterns, data pipelines, analytical environments, and repositories.
Establish and guide enterprise practices for data governance, data quality, metadata, master data management, security, privacy, interoperability, and lifecycle management.
Translate complex business, operational, and analytical needs into technical data designs, implementation strategies, and reusable enterprise solutions.
Apply advanced data science, statistical, predictive, and machine learning methods to support enterprise data solutions and evidence-based decision-making.
Teach, mentor, and consult with technical and business teams to strengthen data architecture, data engineering, data science, and data literacy practices across the agency.