Enterprise Architect - Data, AI

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 develop data architecture across the organization, providing expertise, and resolving conflicts in data architecture projects by analyzing business needs and managing the quality of deliverables created. You will drive alignment on data architecture principles, foster cross-functional collaboration, and ensure that data capabilities are scalable and aligned with enterprise AI goals. You will report to the Vice President, Enterprise Architecture and Standards.

The Day-to-Day:

• Design and evolve enterprise-level semantic data models, including logical and conceptual models, ontologies, and domain definitions
• Partner with product, data, and engineering teams to define domain-driven data contracts that support AI, analytics, and operational needs
• Collaborate with governance, AI/ML, and metadata teams to support computational governance and automated metadata enrichment
• Evaluate AI-generated code for accuracy, performance, and clarity
• Build data architecture and applications that ensure reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data
• Lead the standardization of metadata practices across domains, ensuring discoverability, lineage, and governance
• Enable scalable and interoperable semantic layers across data platforms (e.g., Lakehouse, Knowledge Graphs, Data Warehouses)
• Provide strategic guidance on data modeling techniques (3NF, dimensional, Data Vault, RDF/OWL) and drive adoption of best practices
• Strong collaboration skills, working cross-functionally with data product owners, engineers, data scientists, and governance teams
• 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
• Extensive experience building big data pipelines

Your Qualifications:

• 10+ years of experience with Data technologies (e.g., Databricks, Neo4j, Pinecone) and architecture
• 2+ years of experience with Data-focused A1 tools
• Experience optimizing data, CI/CD process and tools, test frameworks & practices
• Experience with ETL (Azure Data Factory/SSIS) and knowledge of a variety of data platforms and ingestion patterns including events and streams
• Must be proficient in SQL and experience with R, Python, or JavaScript
• 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
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

Why Fisher Investments:

We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like:

• 100% paid medical, dental and vision premiums for you and your qualifying dependents
• A 50% 401(k) match, up to the IRS maximum
• 20 days of PTO, plus 10 paid holidays
• Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
• This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. 

FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER