Fisher Investments
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 AI 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
Compensation
$200,000 - $235,000 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 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
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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 AI 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
Compensation
$200,000 - $235,000 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 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
#J-18808-Ljbffr