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About the Role

We are seeking a Manager – Data Architect to join our AI & Data practice, focused on designing and delivering agentic, intelligent, and data-driven solutions built on Microsoft Fabric and Azure AI services. The ideal candidate brings strong technical leadership, hands-on architecture experience, and the ability to lead client pursuits, solution design, and delivery for complex AI and data transformation programs.

Responsibilities

Provide architecture leadership and subject-matter expertise across client engagements focused on Agentic AI, Microsoft Fabric, and advanced analytics
Lead the end-to-end architecture and design of intelligent systems that leverage AI agents, orchestration frameworks, and enterprise data platforms
Define solution architectures and roadmaps aligned to business outcomes, balancing cost, risk, scalability, security, and performance
Design and oversee Microsoft Fabric–based architectures, including OneLake, Lakehouse, Data Warehouse, Real‑Time Analytics, Data Factory, and Semantic Models
Architect and govern agentic AI solutions, including multi-agent orchestration and workflows, integration with enterprise data, APIs, and applications, and human‑in‑the‑loop patterns, guardrails, and observability
Collaborate closely with clients to translate business use cases into AI‑enabled products, incorporating data privacy, sovereignty, and regulatory requirements, security, identity, and access controls, and business continuity and operational resilience
Lead technical solutioning for pursuits, proposals, and client presentations
Establish and promote architecture standards, reusable assets, reference architectures, and accelerators
Ensure alignment with architecture governance, technology policies, and compliance requirements
Work with Microsoft and ecosystem partners to assess platforms, tools, and delivery models
Provide architectural direction across multiple concurrent projects, building consensus and resolving complex technical challenges
Mentor architects and engineers, fostering a culture of technical excellence, innovation, and experimentation
Stay current with industry trends in Agentic AI, generative AI, analytics platforms, and cloud technologies, and drive their responsible adoption

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or a related field
Strong experience designing and delivering enterprise data and AI architectures
Hands‑on experience with Microsoft Fabric and Azure data services
Experience with data modeling, data engineering, and analytics architectures
Solid knowledge of Azure Cloud, including security and identity concepts
Experience integrating AI/ML or GenAI solutions into enterprise platforms
Exposure to architecture governance, standards, and delivery leadership

Skills

Strong client‑facing skills with the ability to build trusted advisory relationships
Proven ability to lead architecture decisions in complex, multi‑stakeholder environments
Deep understanding of modern data platforms and AI system design
Ability to articulate complex technical concepts to both technical and non‑technical audiences
Experience driving architecture governance, standards, and best practices
Excellent interpersonal, communication, and organizational skills
Passion for AI innovation, technical quality, and continuous learning
Experience with Agentic AI patterns, orchestration frameworks, or autonomous workflows
Familiarity with Azure OpenAI, Copilot experiences, prompt engineering, and RAG architectures
Experience with CI/CD, MLOps, or DataOps in cloud environments
Knowledge of real‑time analytics, event‑driven architectures, and streaming data
Experience with data migration, modernization, or legacy platform transformation
Interest in data visualization, semantic modeling, and business intelligence

Location

Vancouver

Work Type

Full-time

Experience Level

Manager

Education Level

Bachelor's degree

Salary/Compensations

$110000 to $160000

Benefits

Competitive compensation and benefits package designed to support your career growth, well‑being, and long‑term success
Opportunities to work on cutting‑edge AI and data initiatives
Support and coaching from senior leaders and industry experts
Continuous learning and certification opportunities
A collaborative, inclusive, and flexible work environment

About the Company

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Equal Opportunity

Inclusive culture