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

Solid hands-on Databricks development and engineering experience

Advanced Python, PySpark, and SQL programming skills

Strong 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 (Winnipeg)
🏢 Enterprise Solutions
📍 Winnipeg