Senior Specialist IT Data Architect (09IT)

State of Washington

Olympia (WA)

On-site

USD 120,000 - 160,000

Full time

13 days ago

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Job summary

The State of Washington, Department of Licensing (DOL), Information Services Division seeks an Enterprise Data Architect to lead data strategy, architecture, and governance for critical agency systems and analytics environments. You will shape data solutions that enable AI/ML, improve decision making, and ensure data quality and privacy across lifecycles.

You will collaborate with leaders, architects, developers, data scientists, and governance groups, providing technical direction and standards

Qualifications

  • Eleven (11) years of progressively responsible experience spanning enterprise data architecture, data management, analytics and data science.
  • Five (5) years applying data science principles through statistical analysis, predictive modelling or machine learning.
  • Experience designing enterprise data architectures, data models, data standards, governance, and master data practices.

Responsibilities

  • Develop and maintain DOL’s enterprise data architecture framework, reference architectures, data models, standards, and strategic roadmaps.
  • Design scalable enterprise data solutions, data pipelines, analytics environments, and repositories supporting operations, analytics, AI, and ML.
  • Establish and guide enterprise practices for data governance, data quality, metadata, master data management, security, privacy, interoperability, and lifecycle management.
  • Translate complex business and analytical needs into technical data designs and reusable enterprise solutions.
  • Apply advanced data science, statistical, predictive, and ML methods to support data solutions and evidence-based decisions.
  • Advise agency leaders and stakeholders on complex data architecture, technology, and modernization decisions.
  • Teach and mentor teams to strengthen data engineering, data science, and data literacy practices across the agency.

Skills

Enterprise data architecture
Data governance
Data quality
Master data management
Data modeling
Security
Privacy
Data science
Machine learning
Advanced analytics

Job description

We are dedicated to growing a culture of belonging through our values:

Respect | Trust | Diversity | Inclusion | Equity

At the Department of Licensing (DOL) we recognize the importance of work life harmony and strive to create a culture where employees feel valued and respected. Our employees are trusted and encouraged to be a part of process improvements that impact their work, create value for our customers and help build trust in our government.

Our Information Services Division (ISD) team is recruiting for an Enterprise Data Architect to help shape the future of data across DOL!

We are one of the most public facing state agencies and the second largest revenue generating agency in Washington State. We regularly interact with over 6 million Washington residents and collect nearly $3 billion in taxes and fees annually. We know our services are essential to our customers’ ability to live, work, drive, and thrive and we are committed to ensuring every resident has equitable and meaningful access to our services.

Are you a data architecture professional who combines enterprise-level technical expertise with advanced data science skills and enjoys turning complex data challenges into practical solutions? If so, read on!

As an Enterprise Data Architect, you will provide enterprise-wide leadership for DOL’s data strategy, architecture, standards, and practices. In this role, you will design and guide data solutions that support critical agency systems, advanced analytics, artificial intelligence, machine learning, and business decision-making. You will work across business and technology teams to establish consistent approaches for how data is structured, integrated, governed, protected, and used throughout its lifecycle. As a senior technical expert, you will also advise agency leaders, architects, developers, analysts, data scientists, and governance groups on complex data decisions. This position does not directly supervise staff, but it has significant influence across the agency by establishing standards, providing technical direction, and building DOL’s data architecture and data science capabilities.

Some of what you will do:

  • 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.

What you will bring:

  • 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.

Experience must include:

  • 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

What may set you apart:

  • 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.

Additional Requirements of Employment:

  • 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.
  • 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.

DOL is committed to the full inclusion of all qualified individuals. In keeping with our commitment, take steps to ensure that people with disabilities are provided reasonable accommodations.

Come join us in changing the way government delivers services and help build a legacy of commitment to and excellence in diversity, equity, and inclusion!

A paycheck is just part of a total compensation package. We offer some of the nation’s best benefits.

We value diverse perspectives and life experiences. We employ and serve people of all backgrounds including people of color, immigrants, refugees, women, LGBTQ+, people with disabilities, and veterans. We value the unique traits and attributes that each employee brings to the job. Through the diverse perspectives of an inclusive workforce, we will create a more respectful, productive, and unified team to better serve the public of Washington.

The Washington State Department of Licensing is an equal opportunity employer and does not discriminate on the basis of age, religion, sex (including gender identity), marital status, sexual orientation, race, creed, color, national origin, honorably discharged veteran or military status, or the presence of any sensory, mental, or physical disability or the use of a trained dog guide or service animal by a person with a disability.

Persons requiring accommodation in the application process, during the recruitment process, or who need this job announcement in an alternative format, may contact the Human Resources Office at 360-902-4000 or may email HRRecruit@dol.wa.gov. Applicants who are deaf or hard of hearing may call our ASL interpreter via Video Phone at 360.339.7344.

The candidate pool certified from this recruitment may be used to fill future similar vacancies for up to sixty days.

We do not use the E-Verify system; therefore, we are not eligible to extend STEM Optional Practical Training (OPT). For more information, please visit www.uscis.gov.

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