Data Architect, Microsoft Fabric & Foundry AI Platform

JE Dunn Construction; Kansas City (MO); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive Benefits

Career Growth

Travel Opportunities

Job summary

JE Dunn Construction is seeking a Data Architect to define the enterprise data architecture, configure the Microsoft Fabric platform, and lead high-impact data products and AI-enabled solutions across systems.

You will design end-to-end data flows, shape data models for analytics and AI, ensure governance and security, and collaborate with Data and Development teams to deliver reusable architectures.

Qualifications

• Bachelor's degree in a relevant field is required or equivalent experience.
• 8+ years of experience in data architecture or related enterprise tech roles.
• Experience designing enterprise solutions on cloud data and AI platforms.

Responsibilities

• Own enterprise data architecture for high-impact data products across Fabric, apps, analytics, AI and integrations.
• Own Microsoft Foundry architecture and governance, including configurations and deployments.
• Design end-to-end application data flows and data models for operational and analytical use.
• Shape data models to address workflows, reporting, integration, analytics and AI needs.
• Establish platform standards for data capabilities and deployment paths.
• Define trusted-data requirements, security, and change management.
• Build reusable reference architectures for teams to reuse.

Skills

Data architecture

Communication

Collaboration

Problem solving

Attention to detail

MS Office (Intermediate)

Education

Bachelor's degree in Computer Science / Data Engineering / Software Engineering / Information Systems

Tools

Microsoft Fabric

Azure

Microsoft Foundry

Job description

JE Dunn Construction is seeking a Data Architect to define the enterprise data architecture, configure the Microsoft Fabric platform, and lead high-impact data products and AI-enabled solutions across systems.

You will design end-to-end data flows, shape data models for analytics and AI, ensure governance and security, and collaborate with Data and Development teams to deliver reusable architectures.