Senior Specialist IT Architect

About the role

We are recruiting for an Enterprise Data Architect to help shape the future of data across the Department of Licensing (DOL). As an Enterprise Data Architect, you will provide enterprise-wide leadership for DOL's data strategy, architecture, standards, and practices. You will design and guide data solutions that support critical agency systems, advanced analytics, artificial intelligence, machine learning, and business decision-making. This position influences across the agency by establishing standards, providing technical direction, and building DOL's data architecture and data science capabilities.

Responsibilities

• 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 that support operational systems, analytics, AI, and machine learning.
• 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.
• Advise agency leaders, governance groups, architects, developers, analysts, data scientists, and business partners on complex data architecture, technology, and modernization decisions.
• Teach, mentor, and consult with technical and business teams to strengthen data architecture, data engineering, data science, and data literacy practices across the agency.

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; developing or administering databases and data platforms; engineering data pipelines or analytical environments; and establishing enterprise data standards, governance, or master data practices.
• The ability to:
  • Understand and follow agency values of respect, trust, diversity, equity, and inclusion through behaviors and decisions.
  • Promote and support a respectful, equitable, and inclusive workplace for all employees.
  • Promote and support respectful, equitable, and inclusive delivery of services to customers.
  • Take action to learn and grow.
  • Take action to meet the needs of others.

Experience may be obtained concurrently. Up to five (5) years of relevant education (Engineering, computer science, data science, or a related technical discipline) may substitute year for year for experience: Associates degree = 2 years | Bachelor’s degree = 4 years | Master's degree = 5 years.

Qualifications

• 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.

Schedule

This position, while hybrid, will require you to work in person at our Olympia area offices once a month and could adjust as business needs require.

Additional Information

• Prior to a new hire, a pre-employment screening, including criminal record history, will be conducted. Information from the pre-employment check will not necessarily preclude employment but will be considered in determining the applicant’s suitability and competence to perform in the position.
• DOL is committed to the full inclusion of all qualified individuals. In keeping with our commitment, we take steps to ensure that people with disabilities are provided reasonable accommodations.