We are seeking aDatabricks Architect to lead the vision, design, and execution of large-scale, enterprise-grade Databricks Lakehouse architectures across multi-cloud and hybrid environments. In this role, you will advise executive leadership (CIOs/CTOs), drive pre-sales and technical solution design, and lead hands-on architecture for modern data and GenAI platforms.

The ideal candidate brings 12+ years of technology experience, combining deep technical expertise in Databricks, multi-cloud strategy (AWS, Azure, GCP), TOGAF governance, data virtualization, and hands-on experience guiding enterprise modernization initiatives.

Key Responsibilities

- Lead architectural design and hands-on technical oversight forDatabricks Lakehouse , Delta Lake, streaming pipelines, and AI-ready platforms.

- Define enterprise infrastructure reference architectures spanning cloud networking, compute, storage, security,



observability, platform resiliency, disaster recovery, and compliance.

- Build end-to-end multi-cloud data integration layers and agile pipelines connecting legacy systems, cloud data lakes, and modern AI/ML frameworks.

- Establish governance models, architecture guiding principles, and standard frameworks (e.g., TOGAF) for enterprise platforms.

- Drive data virtualization and semantic layer strategies to streamline business intelligence and self-service analytics.

- Serve as a trusted advisor to C-suite executives and CIOs on cloud modernization, data platform resiliency, cost optimization, and AI-enabled operational transformations.

- Partner with Sales and

📌 Databricks Architect (Cloud, Data & AI) (Brampton)
🏢 Confidential
📍 Brampton