Lead Databricks data engineering remotely with Python, PySpark, AWS, and SQL while guiding architecture, delivery, and technical decisions. As a Tech Lead, Data Engineering, you will own technical direction while remaining hands-on. You will connect architecture, execution, and people leadership across enterprise-scale data initiatives. The work includes scalable pipelines, distributed systems, stakeholder collaboration, and mentoring data engineers. Key Responsibilities:

Own technical direction and architecture for data engineering projects Design scalable pipelines using Databricks, PySpark, AWS, and SQL Perform hands-on development, code reviews,



and technical decisions Mentor data engineers and promote clean engineering practices Drive architectural discussions, trade-offs, and long-term technical vision Requirements:

10+ years in Data Engineering or related roles Proven Tech Lead or Lead Data Engineer experience Strong Python, SQL, PySpark, Databricks, and AWS expertise Background in data architecture and distributed systems English fluency and solid technical communication skills Bring hands-on leadership, Databricks expertise, and architectural judgment to enterprise data platforms serving large-scale business needs remotely.

📌 Remote Lead Data Engineer Databricks (Calgary)
🏢 Lumenalta
📍 Calgary