What We're BuildingWe 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 DoOwn the technical direction and architecture of data engineering projectsDesign and build scalable, production-grade data pipelines using Databricks, PySpark, AWS, and SQLLead by example with hands-on development, code reviews, and technical decision-makingMentor and guide data engineers, promoting best practices, clean code, and high engineering standardsDrive architectural discussions, trade-offs, and long-term technical visionCollaborate closely with product, data, and engineering stakeholdersTackle enterprise-scale data challenges with real-world business impact business outcomesWhat We're Looking For10+ years of experience in Data Engineering or related rolesProven experience as a Tech Lead, Lead Data Engineer,



or similar roleStrong hands-on expertise with: Python & SQL, PySpark, Databricks and AWSSolid background in data architecture, pipeline design, and distributed systemsExperience mentoring engineers and leading technical initiativesStrong communication skills and the ability to influence technical decisionsFluent in English (spoken and written)SalarySalary range: CA$90,000 - CA$181,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.LocationThis 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.BenefitsFlexible working hours in a remote environment.Health insurance (medical and dental) for T4 Employees.A career 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 DetailsThis is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.Application DeadlineApplications will be accepted until October 4th, 2026. Candidates can expect feedback by October 12th, 2026.#J-18808-Ljbffr

📌 Lead Data Engineer - Databricks (Remote) (Calgary)
🏢 Lumenalta
📍 Calgary