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AI & Data Analytics Presales Solution Architect

Job in Philadelphia, Philadelphia County, Pennsylvania, 19102, USA
Listing for: Armanino
Full Time position
Listed on 2026-07-31
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), IT Consultant, Data Analyst
Job Description & How to Apply Below

Data Analytics, AI & Microsoft Fabric Pre-Sales Architect

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be among the top 20 largest accounting and consulting firms in the nation and one of the best places to work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career.

At Armanino, we know you don't check-out of life when you check-in t's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

We are seeking a client-focused Data Analytics, AI & Microsoft Fabric Pre-Sales Architect to join our Artificial Intelligence Solutions practice. This role blends deep expertise in modern data platforms with the ability to shape and sell AI-driven transformation initiatives. You will lead with data and analytics (Microsoft Fabric) and expand conversations into AI strategy, Launchpad workshops, and AI Factory delivery, helping clients move from ideas to scalable execution.

Job Responsibilities
  • 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, LLMs, 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)
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