Enterprise Architect – Data, AI
Fisher Investments · Camas, WA, US · United States · Hybrid
Pay: USD 200,000 – 240,000 a year
Posted Jun 16, 2026
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Overview
It's an exciting time to join Fisher Investments! We're continuing to invest in the future of our firm's technology and information security. Our business is growing internationally, which emphasizes the need to build an unparalleled global team that inspires future scale through strategic solutions, innovation, mentoring, and tight knit teamwork.
The Opportunity:
The Enterprise Architect will bring strong cross‑domain expertise, strategic thinking, and executive presence. This is not just a governance‑only role. You will BE a strategic leader, facilitator, and a diplomat—someone who can influence CXO‑level stakeholders and remain deeply involved in execution. You will work across domains to lead enterprise‑wide architecture decisions that prepare us for scalable data and AI modernization. In an individual contributor role, you will work in a fast‑moving, mid‑size, highly collaborative environment. You will report to the Vice President, Enterprise Architecture and Standards.
The Day-to-Day:
Drive enterprise‑level architecture across multiple business domains, ensuring alignment with organizational strategy
Lead discussions with senior stakeholders and bring clarity to complex technical decisions
Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance
Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions
Partner with product, engineering, data, and AI teams to ensure data supports reporting, analytics, and AI use cases
Provide feedback that directly shapes the next generation of AI models
Knowledge of Machine Learning Operations (MLOps) workflows and tools for deploying, managing, and monitoring AI models in production
Actively participate in design, discussions, and delivery—not just governance—with hands‑on engagement
Review AI-generated code to ensure it is accurate, efficient, and high quality.
Stay current on AI and data trends to help the organization evolve.
Your Qualifications:
10+ years of experience in IT
2+ years of experience:
In an Enterprise Architect role
AI and ML Architectures
Exposure with the following:
Data-focused AI tools
Proficient in tools such as Purview, Unity catalog, Erwin, or other semantic/metadata platforms
Deep experience with Microsoft Azure and their AI and data services
Experience working with Financial Services Industry
Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent experience through work experience
Compensation:
$200,000 - $240,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience
Eligible for a discretionary bonus based on firm and individual performance
Why Fisher Investments:
We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive…