Lead Pre-Sales Solution Architect – Data, Analytics, AI & Automation (Microsoft Focus)

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Requirements:

• 10+ years of experience in data, analytics, and solution architecture roles.
• Proven success in a pre-sales or client-facing architecture role.
• Deep understanding of Microsoft Azure data services, including: Azure Synapse, Data Factory, Data Lake, Databricks/Spark, Fabric, etc.; Power BI (Pro & Premium); Azure AI, Machine Learning, and Robotic Process Automation
• Experience aligning modern data architectures to business strategies in the manufacturing or industrial sector.
• Experience scoping, pricing, and estimating delivery efforts in early-stage client engagements.
• Clear and confident communicator who can build trust with technical and business stakeholders alike.
• Knowledge of Microsoft D365 and integration into enterprise architectures is a plu

Responsibilities:

• Lead strategic discovery sessions with executives and business stakeholders to understand business goals, challenges, and technical landscapes.
• Define solution architectures and delivery roadmaps that align with client objectives and Microsoft best practices.
• Scope, estimate, and present proposals for complex Data, AI, and Azure-based projects.
• Partner with Sales to develop compelling business cases, differentiators, and value-based messaging.
• Represent MCA Connect in client presentations, workshops, and industry events.
• Architect end-to-end data and analytics solutions using Microsoft Azure (Data Lake, Synapse, ADF, Power BI, Microsoft Fabric, Azure AI Services, etc.).
• Evaluate data readiness, design cloud migration plans, and establish data governance and MDM strategies.
• Bring innovative thinking to build scalable, secure, and performant cloud-native solutions.
• Oversee solution quality from ideation through handoff to delivery teams.
• Support and guide sales consultants in an effort to align solutions, progress deals and effectively close business.
• Collaborate with Delivery to ensure project success and customer satisfaction.
• Contribute to thought leadership, IP development, and reusable solution frameworks.
• Stay on the edge of innovation by exploring new Azure capabilities, Generative AI, Copilot extensibility, and Fabric developments.