AI and Data - Data Architect (MS Fabric)

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.

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.

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.

• 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 One Lake, 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

• 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

• 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…