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AI and Data - Data Architect (MS Fabric)

EY · Vancouver, BC, Canada · Full-time · Mid-Level

Salary Salary not disclosed

About the role

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

The Opportunity

We are seeking a Manager – Data Architect to join our AI & Data practice. This role is 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. 

You will work at the intersection of data platforms, AI agents, analytics, and enterprise architecture, helping clients unlock value through scalable, governed, and production‑ready AI solutions.

Your Key Responsibilities

As a Manager – Data Architect, you will apply your deep technical expertise and leadership skills to deliver high‑impact solutions, build trusted client relationships, and mentor high‑performing teams. You will collaborate with senior leaders, architects, engineers, and product teams across functions and geographies.

Key responsibilities include:

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

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

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

Skills and Attributes for Success

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

To Qualify for the Role, You Must Have

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

Ideally, You’ll Also Have

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

What We Look For

We’re looking for passionate, forward‑thinking leaders who bring a strong architectural vision and a desire to stay ahead of trends in AI, data, and cloud technologies. If you are motivated by helping organizations responsibly adopt Agentic AI and intelligent data platforms, this role is for you.

What We Offer

We offer a competitive compensation and benefits package designed to support your career growth, well‑being, and long‑term success, including:

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

Vancouver: $110000 to $160000 

EY | Building a better working world 

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.

Skills

Azure CI/CD Data Science Data Engineering

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