Data Tech Lead - Databricks

About the role

The company partners with global enterprises to design and scale data platforms powering products used by millions of users, working on large-scale data systems, complex pipelines and high-impact business use cases. As a Data Tech Lead, you will own the technical direction of data initiatives while staying hands-on, acting as the bridge between architecture, execution and people leadership. This is a fully remote position open to candidates based in Latin America.

Key responsibilities

• 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 through 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

Required profile

• 10+ years of experience in Data Engineering or related roles
• Proven experience as a Tech Lead, Lead Data Engineer or similar role
• Solid background in data architecture, pipeline design and distributed systems
• Experience mentoring engineers and leading technical initiatives
• Fluent English, spoken and written
• Willingness to maintain at least a 6-hour overlap with core business hours, mainly Pacific, Central or Eastern U.S. time zones

Required skills

• Python and SQL
• PySpark and Databricks
• AWS

Applications are accepted until November 8th, 2026, with feedback expected by November 16th, 2026.