Lead Data Engineer - Databricks (Remote)

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)
This is a fully remote position open to candidates based in Latin America (LATAM). While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours, which are primarily aligned with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with project teams.
Application Deadline
Applications will be accepted until October 4th, 2026. Candidates can expect feedback by October 12th, 2026.

Work arrangement
No