Remote Tech Lead, Data Engineering (Databricks/PySpark)

Lumenalta; Colombia; Presencial; COP 374.895.000 - 562.342.000; Jornada completa

Descripción de la vacante

Lumenalta is seeking a Tech Lead, Data Engineering to own the technical direction of data initiatives while remaining hands‑on. You’ll bridge architecture, execution, and people leadership in a fully remote setting with LATAM-friendly hours.

Lead scalable data pipelines using Databricks, PySpark, AWS, and SQL, mentor engineers, and guide architectural decisions across product, data, and engineering teams to deliver real-world impact.

Formación

• 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)

Responsabilidades

• Own the technical direction and architecture of data 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.

Conocimientos

Data Engineering

Tech Lead

Python

SQL

PySpark

Databricks

AWS

Mentoring

Communication

English fluency

Herramientas

Databricks

PySpark

AWS

SQL

Descripción del empleo

Lumenalta is seeking a Tech Lead, Data Engineering to own the technical direction of data initiatives while remaining hands‑on. You’ll bridge architecture, execution, and people leadership in a fully remote setting with LATAM-friendly hours.

Lead scalable data pipelines using Databricks, PySpark, AWS, and SQL, mentor engineers, and guide architectural decisions across product, data, and engineering teams to deliver real-world impact.