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
- Solid Python, SQL, PySpark, Databricks, and AWS expertise
- Background in data architecture and distributed systems
- English fluency and strong 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