Data First Jobs

Lumenalta

Lead Data Engineer - Databricks (Remote)

Full Time · Remote · Canada

$90,000–$181,000 · Posted Jun 28, 2026

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Cloud Stack
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  • What We’re Building
  • 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
  • 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.

Benefits

  • 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.
  • Position Details
  • This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.
  • Application Deadline
  • Applications will be accepted until July 12, 2026. Candidates can expect feedback by August 1, 2026.

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Lead Data Engineer - Databricks (Remote)

Lumenalta

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