Enterprise Architect – Data Architecture
About The Position
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. 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.
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
Nice To Haves
- 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
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
Benefits
- bonuses
- medical, dental, vision, telehealth and mental healthcare
- health savings account and flexible spending account
- basic and voluntary life insurance
- disability coverage
- accident, critical illness and hospital indemnity supplemental coverages
- legal and identity theft coverage
- retirement savings plan
- wellbeing program
- discounted WGU tuition
- flexible paid time off for rest and relaxation with no need for accrual
- flexible paid sick time with no need for accrual
- 11 paid holidays
- other paid leaves, including up to 12 weeks of parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
