Design and Lead Enterprise-Scale Databricks Lakehouse Solutions
Are you an experienced data architect who enjoys designing modern, scalable data platforms and solving complex data challenges? Do you combine deep Databricks expertise with hands-on engineering skills and the ability to provide technical leadership to clients and delivery teams?
CGI is seeking a Databricks Architect to design, build, and govern enterprise-scale data and Lakehouse solutions using Databricks and cloud-native technologies. In this role, you will lead end-to-end solution architecture - from data ingestion, integration, and modeling through performance optimization, governance, security, reliability, and cost management.
You will play a key role in designing cloud-based data platforms that integrate information from multiple source systems and enable advanced analytics, AI/ML, and self-service data capabilities at scale. This position combines hands-on technical delivery, architecture leadership, client engagement, and strategic influence.
As a Databricks Architect, you will work closely with clients, data engineers, application teams, cloud architects, analytics teams, and business stakeholders to translate complex requirements into scalable and sustainable solutions. You will also mentor engineering teams, establish architectural standards and best practices, and help clients maximize the value of their Databricks investments.
This is an excellent opportunity for someone who thrives in a fast-paced technology environment and is passionate about using modern data platforms to solve complex business challenges.
Location: The preferred locations are San Francisco Bay Area; Sacramento, CA; Seattle, WA; and requires a hybrid onsite work arrangement. Remote candidates with the right experience will be considered (must be willing to work PST hours!).