Data Tech Lead - Databricks & PySpark (Remote)

Lumenalta; Calgary; Remote; CAD 90,000 - 181,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance

Professional development fund

Paid time off

Job summary

Lumenalta is seeking a Tech Lead in Data Engineering to own the technical direction of data initiatives while remaining hands-on. You will bridge architecture, execution, and people leadership on complex data projects.

We’re looking for 10+ years in data engineering, strong Python/PySpark experience, and a track record of mentoring engineers. This remote role requires collaboration across time zones and stakeholders, with competitive compensation and benefits.

Qualifications

• 10+ years of experience in Data Engineering or related roles.
• Proven experience as a Tech Lead, Lead Data Engineer, or similar role.
• Strong hands-on expertise with Python, SQL, PySpark, Databricks and AWS.
• Solid background in data architecture, pipeline design, and distributed systems.
• Experience mentoring engineers and leading technical initiatives.
• Strong communication skills and the ability to influence technical decisions.
• Fluent in English (spoken and written).

Responsibilities

• Own the technical direction and architecture of data engineering projects.
• Design and build scalable, production-grade data pipelines using Databricks, PySpark, AWS and SQL.
• Lead by example with hands-on development, code reviews, and technical decision-making.
• Mentor and guide data engineers, promoting best practices, clean code, and high engineering standards.
• Drive architectural discussions, trade-offs, and long-term technical vision.
• Collaborate closely with product, data, and engineering stakeholders.
• Tackle enterprise-scale data challenges with real-world business impact outcomes.

Skills

Python

PySpark

Data architecture

Distributed systems

Mentoring

Leadership

Communication

English language

Tools

Databricks

PySpark

AWS

SQL

Job description

Lumenalta is seeking a Tech Lead in Data Engineering to own the technical direction of data initiatives while remaining hands-on. You will bridge architecture, execution, and people leadership on complex data projects.

We’re looking for 10+ years in data engineering, strong Python/PySpark experience, and a track record of mentoring engineers. This remote role requires collaboration across time zones and stakeholders, with competitive compensation and benefits.