12+ years of experience in Data & Analytics. 5+ years of hands-on Databricks Architecture experience. Must have delivered at least one end-to-end Databricks implementation . Solid expertise in Databricks Data Engineering, ETL and data pipeline development . Robust AWS Cloud experience; AWS is the primary client environment. Hands-on experience with AWS S3, Redshift, Lake Formation and related data services.

Strong Apache

Spark / PySpark expertise.

Experience designing Data Lakes, Data Warehouses and Lakehouse solutions. Strong understanding of Data Modeling, Data Architecture, Metadata, Governance and Data Quality .

Experience with Databricks Unity Catalog and Delta Lake . Exposure to Mosaic AI, Databricks Genie and Agent Bricks .

Experience with AI/GenAI, Data Modernization and Advanced Analytics is preferred. Robust consulting, stakeholder management and communication skills. Excellent problem-solving and delivery mindset.



AWS Solution Architect Certification is preferred.

Responsibilities Lead architecture and implementation of enterprise-scale AWS Databricks platforms . Design scalable and secure Lakehouse, Data Lake and Data Warehouse architectures. Build and optimize Databricks data transformation and pipeline solutions. Integrate AWS S3, Lake Formation, DevOps pipelines and Databricks workflows . Drive data and AI platform modernization initiatives.

Implement Databricks

Genie, AI/BI and Agent Bricks capabilities. Define architecture strategy, governance, security and technical standards. Lead architecture reviews and mentor engineering teams. Partner with business and technical stakeholders to deliver enterprise solutions.

📌 Databricks Architect Toronto (Canada)
🏢 Xaxis Solutions
📍 Canada