We are seeking aDatabricks Architectto 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 ResponsibilitiesLead 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 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 Account teams on pre-sales activities, RFP responses, solution design, and high-value deal shaping.Conduct discovery workshops, present technical blueprints (SAD, DDD),



and defend technical solutions to enterprise clients.Architect solutions incorporating Generative AI, automated document parsing/reformatting pipelines, advanced analytics, and machine learning models within the Databricks ecosystem.Oversee migrations from legacy databases/Big Data infrastructure (Hadoop, Oracle, Cloudera, Netezza) to contemporary cloud-native Lakehouses (AWS, Azure, GCP) using structured acceleration frameworks (e.G., AWS MAP).Establish robust security controls, encryption protocols, enterprise authentication mechanisms (Unity Catalog, Kerberos), and performance tuning for high-throughput environments.RequirementsRequired Qualifications & ExperienceExperience:12+ years of technology experience in Enterprise Infrastructure, Data Engineering, Multi-Cloud Architecture, and AI Strategy.Databricks Expertise:Strong hands-on architectural experience with Databricks Lakehouse, Delta Lake, Spark, Unity Catalog, and AI/ML integrations.Multi-Cloud Expertise:Proven track record architecting and deploying solutions across AWS, Azure, and GCP platforms.Legacy Modernization:Solid background transitioning traditional database/Hadoop environments (Oracle RAC/ASM, Cloudera/Hortonworks, Netezza, HBase) into cloud-native architectures.Domain Exposure:Architecture experience supporting industries such asHealthcare, Insurance & Risk, Banking & Finance, Media, Retail, or Life Sciences.Technical Stack & SkillsObservability, Operations & Tools:Grafana, SumoLogic, Git/GitStash, Jira, Bamboo, DB Visualizer.Languages & Scripting:Python, SQL, PL/SQL, Unix Shell Scripting, Perl Scripting.EducationMaster's or Bachelor's degree in Business Administration, Computer Science, Software Engineering, or a related technical discipline.

📌 Databricks Architect (Cloud, Data & Ai) (Brampton)
🏢 KData
📍 Brampton