Senior Data & AI Solutions Architect – Fabric Presales

SHI; Richmond (VA); On-site; USD 128,000 - 176,000; Full time

Benefits offered by this job

Diversity & inclusion

Professional growth

Health & financial benefits

World-class facilities

Job summary

SHI International Corp. seeks a Senior Data & AI Solutions Architect to lead the design of modern data platforms leveraging Microsoft Fabric.

You will act as the Solution Orchestrator for data-centric projects, guiding architecture and engineering for enterprise clients. Responsibilities include presales engagement, designing end-to-end data solutions on Azure, building pipelines, warehousing, and real-time analytics, and collaborating with governance and AI teams.

Qualifications

• 10+ years of experience in data architecture and engineering.
• Extensive hands-on experience with Microsoft Fabric and Azure data services.
• Proven track record designing and implementing large-scale data solutions.

Responsibilities

• Presales engagement to understand client requirements and design tailored solutions.
• Design end-to-end data architectures on Azure, including ingestion, transformation, and storage.
• Lead discovery sessions, workshops, and assessments for modernization opportunities.
• Create technical proposals, roadmaps, and SOWs aligning with client goals.

Skills

Data architecture

Azure

Microsoft Fabric

Presales

Azure Synapse

Data pipelines

Communication

Education

Bachelor's degree in CS/IS

Master's degree preferred

Tools

Azure DevOps

Purview

OneLake

Data Factory

Azure Synapse

Azure Databricks

Azure SQL Database

Job description

SHI International Corp. seeks a Senior Data & AI Solutions Architect to lead the design of modern data platforms leveraging Microsoft Fabric.

You will act as the Solution Orchestrator for data-centric projects, guiding architecture and engineering for enterprise clients. Responsibilities include presales engagement, designing end-to-end data solutions on Azure, building pipelines, warehousing, and real-time analytics, and collaborating with governance and AI teams.