Leverage your Databricks expertise as a Senior Data Engineer, designing enterprise data platforms in a fully remote role. Join us to implement scalable data solutions using Python, AWS, and robust engineering practices.

This role focuses on end-to-end data platform architecture and engineering, requiring advanced skills in Databricks and a solid foundation in data pipeline development. You will collaborate with engineering teams, shaping best practices and ensuring secure, scalable solutions. If you have a passion for data architecture and hands-on engineering, this position is for you.

Key Responsibilities:
• Design scalable data platforms using Databricks and AWS
• Architect complete data platform implementations
• Develop data pipelines using Python, PySpark, and SQL




• Implement CI/CD practices and version control
• Manage Databricks components like Delta Lake and Unity Catalog

Requirements:
• Deep expertise in Databricks platform architecture
• Programming experience with Python, PySpark, and SQL
• Solid knowledge of CI/CD pipelines and Git workflows
• Hands-on with Infrastructure as Code using Terraform
• Strong AWS knowledge, particularly S3 and IAM roles

Bring your data engineering skills to design and implement creative solutions in this fully remote role.
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📌 Senior Data Engineer with Databricks Expertise (Manitoba)
🏢 Lumenalta
📍 Manitoba