Data Tech Lead: Databricks & Scalable Pipelines (Remote)

Lumenalta; Colombia; A distancia; COP 356.056.000 - 485.531.000; 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 fast-paced environment.

You will design scalable production data pipelines using Databricks, PySpark, AWS, and SQL, mentor engineers, lead architectural discussions, and collaborate with product and data teams to deliver enterprise-scale solutions.

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.
• Background in data architecture, pipeline design, and distributed systems.
• Experience mentoring engineers and leading technical initiatives.
• Strong communication skills and 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

10+ years data engineering

Tech Lead experience

Python & SQL

PySpark

Databricks

AWS

Data architecture

Distributed systems

Mentoring engineers

Communication skills

English fluency

Herramientas

Databricks

PySpark

AWS

SQL

Python

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 fast-paced environment.

You will design scalable production data pipelines using Databricks, PySpark, AWS, and SQL, mentor engineers, lead architectural discussions, and collaborate with product and data teams to deliver enterprise-scale solutions.