At a Glance
- Tasks: Lead data engineering projects and design scalable data pipelines using Databricks and AWS.
- Company: Join a global tech leader transforming data platforms for millions.
- Benefits: Flexible remote work, health insurance, professional development fund, and 15 days paid time off.
- Other info: Fully remote role with excellent career growth opportunities and a collaborative team culture.
- Why this job: Make a real impact by tackling enterprise-scale data challenges with innovative solutions.
- Qualifications: 10+ years in Data Engineering, strong skills in Python, SQL, and mentoring experience.
The predicted salary is between 181000 - 181000 $ per year.
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:
- 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.
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:
- 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.
Data Tech Lead in Calgary employer: Lumenalta
At Lumenalta, we pride ourselves on being an exceptional employer that fosters a culture of innovation and personal growth. Our fully remote work environment allows you to maintain a healthy work-life balance while collaborating with talented professionals across various time zones. With competitive salaries, flexible hours, and a commitment to your professional development, Lumenalta is the perfect place for experienced React Developers looking to make a meaningful impact in the digital transformation space.
