Enterprise Architect - Data Architecture

Responsibilities

• Define and evolve WGU's enterprise data architecture, including data models, data flows, and platform standards
• Establish and maintain data governance frameworks, reference architectures, and enterprise data standards
• Align data strategy with institutional priorities, analytics initiatives, and student outcomes
• Architect and guide modern data platforms such as data lakes, lakehouses, and data warehouses
• Design scalable batch and real-time data pipelines with strong data quality, lineage, and observability
• Lead API-first data integration strategies that enable secure, interoperable, and domain-oriented data access
• Partner across product, engineering, analytics, and governance teams to influence enterprise data investments
• At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
• We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
• Interview Steps
• Introductory call
• Hiring manager interview
• Technical team interview
• Work Location
• This is a full-time, hybrid role based in our Salt Lake City, Utah office.
• Visa Sponsorship
• While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
• #LI-AW2
• Position & Application Details

Requirements

• 7+ years of experience in data architecture, software engineering, enterprise architecture, or related roles
• 3 years of experience as an Enterprise Architect or 7 years in a technical leadership role (technical lead, principal engineer, etc.)
• Proven success designing and delivering enterprise-scale, distributed systems and technology transformations
• Deep expertise in data architecture, including data lakes, warehouses, and lakehouse patterns
• Strong background in data modeling across conceptual, logical, and physical layers
• Experience with data integration approaches including ETL/ELT, streaming, and APIs
• Hands-on experience supporting or enabling AI-driven solutions
• Bonus Points
• Experience enabling AI and ML workloads, including MLOps or feature stores
• Familiarity with modern data stack tools such as Snowflake, Databricks, dbt, or Kafka
• Relevant certifications such as TOGAF or AWS or Azure Architect

Benefits

Additional Information

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Grade: Technical 411 Pay Range: $157,000.00 - $243,400.00 Job Description Impact at WGU At WGU, innovation and transformation are how we advance our mission to expand access to higher education. As an Enterprise Architect for Data Architecture, you will play a critical role in shaping WGU's enterprise data ecosystem, enabling modern, scalable, and intelligent platforms that support student success and operational excellence. This is a high-impact role with the opportunity to influence enterprise-wide strategy and drive meaningful transformation.

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