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 LeadAs 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 advantages 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 DeadlineApplications will be accepted until
November 8th, 2026. Candidates can expect feedback by
November 16th, 2026 .
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📌 Data Tech Lead - Databricks (Winnipeg)
🏢 Lumenalta
📍 Winnipeg