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Role: Senior Manager / Director – Solution Architect
Microsoft Fabric | AI & Data Platforms
Experience: 15+ years
Role Overview
We are seeking a senior Microsoft Fabric Solution Architect to lead the architecture and solutioning of complex enterprise AI & Data use cases on Microsoft Azure, with Microsoft Fabric as the core analytics platform.
This role is designed for a hands-on, deeply technical architect who can operate across presales, solution design, and delivery guidance, and who excels at translating business problems into scalable, production-grade AI & Data architectures.
The Solution Architect will play a critical role in client engagements, presales motions, and large-scale transformation programs, shaping platform strategies and defining end-to-end architectures that solve real-world business problems.
What You’ll Do
Solution Complex AI & Data Problems for Enterprise Clients
- Engage with senior business, data, and technology stakeholders to understand complex AI & Data requirements
- Lead solution discovery and architecture definition for ambiguous, high-impact problem statements
- Translate business objectives into clear, executable AI & Data platform architectures
- Own architectural outcomes from problem definition through design sign-off
Architect End-to-End Microsoft Fabric & Azure Platforms
- Design enterprise-scale architectures using:
- Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Power BI)
- Azure Data Factory (ADF) for ingestion and orchestration
- Azure Synapse, Spark, and Notebooks
- Define enterprise data platform patterns, including:
- Bronze, Silver, and Gold data layers
- Data modeling and semantic layer design for analytics and BI
- Ensure architectures meet scalability, performance, reliability, cost, and security requirements
- Align solutions with enterprise cloud, data governance, and compliance standards
Enable AI, Advanced Analytics & GenAI Use Cases
- Architect AI-enabled analytics platforms using:
- Azure AI Services
- Azure OpenAI / GenAI capabilities
- Design architectures that support:
- Intelligent insights and advanced analytics
- AI-augmented BI and decision-support systems
- Responsible and secure GenAI adoption
- Balance key trade-offs across cost, latency, security, and scalability
Presales, Solution Shaping & Client Advisory
- Lead and contribute to presales and solution-shaping activities, including:
- Client discovery and architecture workshops
- End-to-end solution design and approach definition
- RFP / proposal responses and technical storytelling
- Architecture reviews and estimations
- Partner with sales and leadership teams to:
- Define differentiated Microsoft Fabric–based solutions
- Clearly articulate solution value, architecture, and trade-offs
- Act as a trusted AI & Data architecture advisor during early-stage client conversations
Guide Delivery And Architecture Governance
- Work closely with delivery and engineering teams to:
- Validate architecture feasibility
- Guide key implementation and design decisions
- Review complex components and integration patterns
- Ensure architecture consistency across build, deployment, and production
- Support operational readiness, observability, and support considerations
Define Reusable Architecture Assets & Best Practices
- Create reference architectures, solution blueprints, and reusable design patterns
- Codify best practices for:
- Enterprise Microsoft Fabric adoption
- AI & Data platform modernization
- Scalable analytics and BI architectures
- Contribute to EY GDS architecture standards and IP
Core Requirements
Experience
- 15+ years of experience in data platforms, analytics architecture, or cloud solutions
- Strong background in Microsoft Azure–based data and analytics architectures
- Proven experience architecting enterprise-scale AI & Data platforms
- Experience working in consulting and client-facing environments
- Strong presales and solution-shaping experience (mandatory)
Technical Expertise – Microsoft Fabric & Azure
- Deep expertise in:
- Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Power BI)
- Azure Data Factory (ETL / ELT architecture)
- Azure Synapse Analytics
- Spark and Notebooks
- Strong understanding of:
- Data modeling, semantic layers, and BI architectures
- Enterprise data governance and platform design
- Hands-on experience with:
- SQL, PySpark, Python
- DAX, Power Query
AI, Analytics And GenAI
- Experience designing AI-enabled analytics architectures
- Knowledge of:
- Azure AI services
- Azure OpenAI and GenAI integration patterns
- Ability to embed AI responsibly within enterprise data platforms
Architecture And Consulting Skills
- Ability to operate in complex, multi-stakeholder environments
- Strong communication and executive-level articulation skills
- Comfortable leading architecture and solution discussions with senior client leadership
- Strong balance of business acumen and technical depth
Added Advantage / Preferred Experience
- Experience working with modern data platforms such as:
- Ability to compare, position, and architect multi-platform data strategies
- Exposure to hybrid or multi-cloud analytics environments
- Experience in large-scale data modernization or AI transformation programs
What This Role Is NOT
- Not a pure hands-on development role
- Not a delivery or program management role
- Not limited to BI reporting or tool configuration
- Primary ownership is architecture and solutioning, not day-to-day coding
Success Metrics (First 6–12 Months)
- Architect and support delivery of multiple enterprise-grade Fabric-based solutions
- Drive successful presales outcomes through strong solutioning leadership
- Establish standard Microsoft Fabric reference architectures within EY GDS
- Be recognized as a trusted AI & Data Solution Architect across engagements
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
