Microsoft Fabric Architect and Consulting

The Technology Department of one of the fastest-growing accounting firms in the country is seeking a Senior Microsoft Fabric Architect and Consulting Lead who is motivated to learn, excited to collaborate and passionate about delivering outstanding results. This individual will have a direct impact on our firm’s mission of serving as a catalyst for those striving to achieve their highest potential. 

The Sr Microsoft Fabric Architect and Consulting Lead is responsible for designing, architecting, and guiding the delivery of enterprise data and analytics solutions primarily leveraging Microsoft Fabric and related MS family of products (Power Platform Copilot, etc.). This role leads clients, data teams, and technology stakeholders in value identification, compelling understanding of enterprise intelligence, and defining scalable, secure, maintainable, and practical data platform solutions.

Positioned as a senior technical and consulting role, the Sr. Microsoft Fabric Architect leads client engagements from discovery and solution design through implementation, adoption, and transition. This role serves as a trusted technical advisor to clients while providing architectural direction to Data Engineers, Power BI Developers, consultants, and other delivery team members. The Architect is responsible for ensuring technical quality, effective communication, sound governance, and successful client outcomes.

What You’ll Do:

Client Engagement and Consulting Leadership

• Serve as the senior technical and consulting lead for Microsoft Fabric client engagements.
• Lead client discovery sessions, architecture workshops, roadmap discussions, and executive briefings.
• Build strong relationships with client executives, business leaders, data teams, and technology stakeholders.
• Translate business goals, operating needs, and technical constraints into clear architecture and delivery recommendations.
• Communicate complex technical concepts in plain language appropriate for both executive and technical audiences.
• Establish engagement expectations, decision processes, working agreements, and communication cadence.
• Manage client concerns, difficult conversations, competing priorities, and changing requirements with professionalism.
• Provide clear recommendations, identify tradeoffs, and help clients make informed decisions.
• Identify follow-on opportunities where additional advisory, data, analytics, automation, or AI services could create client value.

Engagement Management

• Lead assigned client engagements with accountability for scope, schedule, budget awareness, quality, risks, and outcomes.