Build enterprise-scale Lakehouse solutions as a Senior Databricks Developer using Python, PySpark, SQL, and Delta Lake expertise.

This senior position focuses on developing scalable data engineering solutions with Databricks. You will create notebooks, workflows, jobs, pipelines, and reusable platform components. The work also includes CI/CD automation, infrastructure-as-code, Unity Catalog governance, and performance optimization across enterprise data environments.

Key Responsibilities:

- Design scalable data engineering solutions with Databricks, Python, PySpark, and SQL
- Develop notebooks, workflows, jobs, and Lakeflow pipelines
- Build reusable frameworks, libraries, templates, and automation components
- Optimize Delta Lake partitioning, clustering, and maintenance operations




- Troubleshoot Spark execution, queries, performance, and resource utilization

Requirements:

- Strong hands-on Databricks development and engineering experience
- Advanced Python, PySpark, and SQL programming skills
- Robust Apache Spark, Delta Lake, and Lakehouse architecture experience
- Experience developing Databricks notebooks, jobs, workflows, and pipelines
- Knowledge of Spark performance tuning and compute optimization

Apply advanced Databricks, Python, PySpark, SQL, and Delta Lake skills to enterprise Lakehouse engineering.

📌 Senior Databricks Data Engineer (Canada)
🏢 Enterprise Solutions
📍 Canada