Senior Data & AI Architect — Azure Cloud & ML

CDM Smith; Elizabeth (NJ); 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 Digital Engineering Solutions domain. You will drive architecture, engineering, and analytics initiatives using advanced data technologies to deliver insights for AEC professionals and client outcomes.

The ideal candidate combines a strong technical background with strategic thinking, excellent communication, and a passion for learning in a global practice setting.

Qualifications

• Advanced understanding of data management lifecycle components: governance, architecture, integration, metadata, quality, security, stewardship, and master data management.
• Experience with Microsoft Azure cloud services and Databricks.
• Understanding of Azure well-architected framework and applying it to Data/AI solutions.
• Proven ability to design highly complex data and AI architectures and communicate with business units.

Responsibilities

• Develop and 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 architectural solutions for complex data/AI problems across units.
• Document detailed architecture and technical designs for data/AI solutions.
• Collaborate with data scientists, engineers, analysts, and stakeholders.

Skills

Data governance

Data architecture

Data integration

Metadata management

Data quality

Security operations

Data stewardship

Master data

Azure cloud

Databricks

AI/ML

Communication

Critical thinking

Education

Bachelor's Degree

Tools

Azure

Databricks

Job description

CDM Smith is seeking a Senior Data and AI Architect to join our Data & AI Technology group within the Digital Engineering Solutions domain. You will drive architecture, engineering, and analytics initiatives using advanced data technologies to deliver insights for AEC professionals and client outcomes.

The ideal candidate combines a strong technical background with strategic thinking, excellent communication, and a passion for learning in a global practice setting.