Senior Data & AI Architect — Cloud Data Strategy & ML Solutions

CDM Smith; Walnut Creek (CA); 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. You will lead architecture, engineering and analytics initiatives across the AEC domain, delivering actionable insights and scalable solutions for clients and internal teams.

Ideal candidates bring deep data architecture experience, strong Azure and Databricks expertise, and excellent communication skills to guide cross-functional teams and influence project outcomes worldwide.

Qualifications

• Bachelor's Degree.
• 5 years of related experience.
• Equivalent additional directly related experience will be considered in lieu of a degree.

Responsibilities

• Develop and design the architecture for various data and AI solutions, ensuring each solution is scalable, secure, and reliable.
• Engage with our business units to understand their requirements and translate them into technical requirements and designs.
• Create data and AI architectural solutions to complex architecture, engineering, and environmental science problems.
• Design and implement strategies to scale data and AI solutions across different business units.
• Create detailed architecture and technical design docs for our data and AI solutions.
• Assist with initiatives and efforts, as part of a collaborative team, with your data scientists, data engineers, data analysts, and stakeholders.

Skills

Azure cloud

Databricks

Data architecture

AI/ML

Data governance

Security & operations

Education

Bachelor's Degree

5 years of related experience

Equivalent additional directly related experience will be considered in lieu of a degree

Tools

Databricks

Azure cloud services

Job description

CDM Smith is seeking a Senior Data and AI Architect to join our Data & AI Technology group. You will lead architecture, engineering and analytics initiatives across the AEC domain, delivering actionable insights and scalable solutions for clients and internal teams.

Ideal candidates bring deep data architecture experience, strong Azure and Databricks expertise, and excellent communication skills to guide cross-functional teams and influence project outcomes worldwide.