Data Tech Lead - Databricks

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

We partner with global enterprises to design and scale data platforms that power products used by millions of users. Our work involves large-scale data systems, complex pipelines, and high-impact business use cases across multiple industries.

This role focuses on technical leadership, architectural ownership, and mentoring while remaining hands-on.

Your Role as a Tech Lead

As a Tech Lead, Data Engineering, you will own the technical direction of data initiatives while remaining hands-on. You'll act as the bridge between architecture, execution, and people leadership.

What You’ll Do

• 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 business outcomes

What We’re Looking For

• 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)

Salary range: CA$90,000 - CA$181,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

Location:

This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

• Flexible working hours in a remote environment.
• Health insurance (medical and dental) for T4 Employees.
• A professional development fund to enhance your skills and knowledge.
• 15 days of paid time off annually.
• Access to soft-skill development courses to further your career.

This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

Application Deadline

Applications will be accepted until October 25th, 2026. Candidates can expect feedback by November 2nd, 2026.