We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize up-to-date data platforms on Azure Databricks. In this strategic role, you will work directly with both Data Elephant and client data and analytics teams, helping them migrate, modernize, and scale their data workloads while applying best practices in data engineering, security, ML, AI and data governance. This is a hands-on engineering role with strong exposure to architecture decisions, client interaction, and end-to-end delivery. Responsibilities Play an integral project team role in the implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog). Design and implement data pipelines using Azure Databricks (PySpark,



SQL) Build and optimize batch and streaming data workloads Migrate legacy data workloads to Azure + Databricks Implement Delta Lake patterns (medallion architecture, CDC, data quality) Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github Optimize performance and cost (cluster sizing, job orchestration, query tuning) Collaborate with solution architects, analytics engineers, and client stakeholders Contribute to reusable accelerators, standards, and internal best practices Support client enablement through knowledge

📌 Databricks Engineer (Contract) (Calgary)
🏢 Data Elephant
📍 Calgary