AI & Data Analytics Presales Architect – Fabric & AI

Armanino LLP

United States

Remote

USD 133,000 - 209,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
Generous PTO
401K with profit sharing
Flexible work arrangements
Wellness program
Parental leave
11 paid holidays

Job summary

Armanino LLP is seeking a client-focused AI & Data Analytics Presales Solution Architect to join our AI Solutions practice in multiple locations. You will shape and sell AI-driven transformation initiatives, lead discovery sessions, and design end-to-end data platforms centered on Microsoft Fabric.

The role requires strong data architecture expertise, experience in pre-sales or consulting, and the ability to translate complex tech into business value for clients.

Qualifications

  • 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: Microsoft Fabric, or Azure Synapse / Azure Data Factory / Power BI / Databricks.

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 business value.

Skills

Data architecture
Pre-sales experience
Client-facing
Business value storytelling
Demos & presentations

Tools

Microsoft Fabric
Azure Synapse
Azure Data Factory
Power BI
Databricks

Job description

Armanino LLP is seeking a client-focused AI & Data Analytics Presales Solution Architect to join our AI Solutions practice in multiple locations. You will shape and sell AI-driven transformation initiatives, lead discovery sessions, and design end-to-end data platforms centered on Microsoft Fabric.

The role requires strong data architecture expertise, experience in pre-sales or consulting, and the ability to translate complex tech into business value for clients.

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