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.

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