Job Summary We are seeking an experienced Databricks Technical Architect to design, architect, and implement scalable data and analytics solutions on the Databricks platform. The ideal candidate will have strong expertise in data engineering, cloud technologies, big data frameworks, and modern data architectures.Key ResponsibilitiesDesign and implement enterprise-scale data platforms using Databricks.Define data architecture, governance, security, and best practices.Build and optimize ETL/ELT pipelines using Spark, PySpark, and SQL.Collaborate with business and technical stakeholders to deliver data solutions.Lead migration of legacy data platforms to Databricks and cloud environments.Provide technical leadership, solution design, and architecture guidance.Optimize performance, scalability,



and cost efficiency of data workloads.Required Skills8+ years of experience in Data Engineering/Data Architecture.Robust hands-on experience with Databricks, Apache Spark, PySpark, and SQL.Experience with Azure Databricks, AWS, or GCP cloud platforms.Knowledge of Delta Lake, Data Lakehouse architecture, and data governance.Experience with CI/CD, DevOps, and data integration tools.Strong stakeholder management and solution architecture skills.Preferred CertificationsDatabricks Certified Data Engineer/ArchitectAzure Solutions Architect or relevant Cloud Certifications

📌 Databricks Technical Architect (Toronto)
🏢 Tangentia
📍 Toronto