Data Tech Lead - Databricks

Lumenalta; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Lumenalta is seeking a Tech Lead, Data Engineering to own the technical direction of data initiatives while remaining hands-on. You will bridge architecture, execution, and people leadership across data engineering projects.

You will design scalable production-grade data pipelines using Databricks, PySpark, AWS, and SQL, and mentor engineers to uphold strong coding standards. This fully remote role requires LATAM overlap for collaboration with global teams.

Qualifications

• 10+ years of experience in Data Engineering or related roles.
• Proven experience as a Tech Lead or Lead Data Engineer.
• Hands-on data engineering with production-grade pipelines.
• Strong background in data architecture and distributed systems.
• Experience mentoring engineers and leading technical initiatives.

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 with hands-on development, code reviews, and technical decision-making.
• Mentor and guide data engineers, promoting best practices 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.

Skills

Databricks

PySpark

Python

SQL

AWS

Data architecture

Distributed systems

Mentoring

Leadership

English fluency

Job description

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.