- 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 August 23, 2026. Candidates can expect feedback by August 31, 2026.
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Lead Data Engineer - Databricks (Remote)
Lumenalta
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