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 dynamic pipelines connecting legacy systems, cloud data lakes, and contemporary 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)
🏢 KData
📍 Brampton