Senior Data & AI Architect – Azure & Databricks Leader

CDM Smith; Lancaster (Lancaster County); On-site; USD 122,595 - 214,510; Full time

Job summary

CDM Smith is seeking a Senior Data and AI Architect to join our Business Technology – Digital Engineering Solutions domain. The role focuses on leading data and AI architecture to advance AEC initiatives, with emphasis on self‑serve BI, analytics, and actionable insights for clients.

The candidate will guide cross‑discipline teams, engage with stakeholders, and drive research and development of data technology ideas across the global practice. Leadership and communication are essential.

Qualifications

• Advanced understanding of the data management lifecycle including governance and architecture.
• Strong knowledge of Microsoft Azure and Databricks.
• Ability to apply the Azure well‑architected framework to data/AI solutions.
• Experience developing highly complex data and AI architectures.
• Excellent written and oral communication with technical and non‑technical partners.
• Creative problem solving and attention to detail.

Responsibilities

• Develop and design architecture for data and AI solutions that are scalable and secure.
• Engage with business units to translate requirements into technical designs.
• Create data/AI architectural solutions for complex problems in AEC.
• Scale data/AI solutions across multiple business units.
• Produce architecture and design documents for data/AI projects.
• Collaborate with data scientists, engineers, and stakeholders.
• Stay informed on new technologies and best practices.

Skills

Data architecture

Azure & Databricks

Data governance

Communication skills

Analytical thinking

Security & operations

Education

Bachelor's Degree

Tools

Azure cloud services

Databricks

Azure Well-Architected Framework

Job description

CDM Smith is seeking a Senior Data and AI Architect to join our Business Technology – Digital Engineering Solutions domain. The role focuses on leading data and AI architecture to advance AEC initiatives, with emphasis on self‑serve BI, analytics, and actionable insights for clients.

The candidate will guide cross‑discipline teams, engage with stakeholders, and drive research and development of data technology ideas across the global practice. Leadership and communication are essential.