AI & Data Analytics Presales Solution Architect
Armanino · San Ramon, CA · 1 mo ago
Engineering$133k–$182k/yrFull-time
About the role
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.
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, 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
- 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)