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 Solid 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 .

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