Senior Data & AI Architect — Scalable AI for AEC

CDM Smith; Manchester (NH); On-site; USD 123,000 - 215,000; Full time

Job summary

CDM Smith is seeking a Senior Data and AI Architect to join our Data & AI Technology group within the Business Technology - Digital Engineering Solutions domain. You will drive architectural directions for data and AI initiatives using cutting-edge technologies to deliver actionable business insights for AEC professionals and clients.

The ideal candidate will have proven success in data architecture, experience with Azure and Databricks, and strong communication skills to work with both

Qualifications

• Advanced understanding of the data management lifecycle including governance, architecture, integration, metadata management, development, quality, security, operations, stewardship, and master data management.
• Strong knowledge of Microsoft Azure cloud services and Databricks.
• Experience applying the Azure Well-Architected Framework to Data and AI solutions.
• Ability to develop highly complex data and AI architectures and communicate with both technical and non-technical stakeholders.

Responsibilities

• Design architecture for data and AI solutions that are scalable, secure, and reliable.
• Translate business requirements into technical designs for data and AI systems.
• Create detailed architecture and technical design documentation.
• Collaborate with data scientists, engineers, analysts, and stakeholders on projects.

Skills

Data architecture

Azure Databricks

Data governance

Data security

Data integration

Communication skills

Education

Bachelor's Degree

Tools

Microsoft Azure

Databricks

Job description

CDM Smith is seeking a Senior Data and AI Architect to join our Data & AI Technology group within the Business Technology - Digital Engineering Solutions domain. You will drive architectural directions for data and AI initiatives using cutting-edge technologies to deliver actionable business insights for AEC professionals and clients.

The ideal candidate will have proven success in data architecture, experience with Azure and Databricks, and strong communication skills to work with both