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:
Versatile 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 .

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📌 Data Tech Lead - Databricks (Ontario)
🏢 Lumenalta
📍 Ontario