Partner with sales teams to shape and advance data and AI opportunities. Lead discovery sessions to identify business challenges, data needs, and AI use cases. Design and present end-to-end solutions using Microsoft Fabric. Translate technical concepts into clear business value and ROI narratives. Support proposals, RFPs, and solution scoping. Design modern data platforms using:Microsoft Fabric (Lakehouse, Warehouse, Power BI, Data Factory)Scalable, secure, and governed architectures. Guide clients through data modernization and migration strategies. Define best practices across data modeling, pipelines, and analytics. Identify and shape AI use cases tied to business outcomes. Position and help sell:AI Launchpad workshops. AI Factory delivery model. Connect data platform capabilities to AI enablement. Lead client discussions, whiteboarding sessions, and solution presentations. Build relationships with business and technology stakeholders. Communicate the “Art of the Possible” across data and AI - Facilitate or support AI Launchpad workshops. Contribute to AI strategy and roadmap development. Help evolve AI Factory offerings and go-to-market assets. Support early-stage delivery and mentor team members. Contribute to thought leadership (events, webinars, content)Requirements. Minimum 7 years of experience in data architecture, analytics, or data platform solutions. Experience in a client-facing, pre-sales, or consulting role. Hands-on experience with at least one of the following:Microsoft Fabric, OR - Azure Synapse / Azure Data Factory / Power BI / Databricks. Strong understanding of:Data warehousing and dimensional modeling. ETL/ ELT and modern data architectures (lakehouse concepts)Ability to translate technical solutions into business value. Experience leading client discussions, demos, or solution presentations. Preferred Qualifications. Direct experience with Microsoft Fabric end-to-end workloads. Experience selling or delivering AI-related solutions or initiatives. Familiarity with:Generative AI (Copilots, LL - Ms, embeddings)Predictive analytics or machine learning. Experience with AI workshops, ideation sessions, or roadmap development. Microsoft certifications (Fabric, Azure Data, AI Engineer)Industry experience (e.g., Manufacturing, Healthcare, Financial Services)"Armanino"