Databricks Data Architect

We're growing rapidly and are looking for a senior-level data architect to help us design and build a large-scale cloud-based data lake. If you love orchestrating complex data pipelines from multiple source systems into a well-designed data lake structure, then CGI is the place for you.

The Databricks Data Architect is responsible for deg and governing an enterprise-grade Lakehouse architecture on Databricks. This role leads end-to-end solution design—from data ingestion and modeling through performance optimization, governance (Unity Catalog), reliability, and cost control—while enabling analytics, AI/ML, and self-service data capabilities at scale.

In this role, you will be responsible for deg, developing, and implementing robust and scalable data architectures and ETL solutions and require deep expertise in Databricks for data processing and Lakehouse architecture.  This role offers a unique blend of hands-on coding, technical leadership and strategic influence. You will inspire innovation, foster collaboration, and drive continuous improvement within your team, making a tangible impact on how our client leverages data to unlock growth and competitive advantage. If you thrive in a fast-paced, evolving landscape and are passionate about harnessing data to solve complex business challenges, this is the role for you.

Growth at CGI is driven by your goals, so if you're looking for an inclusive place where you're empowered to chart your own path, then we'd love to meet you.

This role is remote and open to candidates living in the United States.

We are accepting applications through January 31, 2026.

Skills:

Apache Spark, Data Architecture, Data Engineering, Python, SQL