Lead Data Platform Architect: Scalable Pipelines & Cloud

Nabla; Ciudad de México; Híbrido; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee‑Assistance‑Program (EAP)

Descripción de la vacante

Nabla is seeking an experienced Principal Data Engineer to join our global data engineering team in Mexico City. In this role, you will design, build, and optimize scalable data platforms and pipelines to support advanced analytics and data-driven decision-making.

Your responsibilities will include defining architecture, mentoring team members, and collaborating with cross-functional stakeholders to translate business requirements into scalable data solutions. Strong programming skills in Python, SQL, and experience with Big Data frameworks are essential.

The position offers a flexible working environment alongside a commitment to diversity, equity, and inclusion.

Formación

• 6–10+ years of experience in Data Engineering or related roles.
• Strong programming skills in Python and SQL.
• Hands‑on experience with Big Data frameworks.

Responsabilidades

• Design and implement scalable, high-performance data pipelines.
• Architect and maintain cloud-based data platforms.
• Own end-to-end data workflows from ingestion to delivery.

Conocimientos

Python

SQL

Big Data frameworks

Data modeling

Data orchestration tools

Cloud platforms

Troubleshooting

Herramientas

Spark/PySpark

Airflow

Snowflake

Databricks

Descripción del empleo

Nabla is seeking an experienced Principal Data Engineer to join our global data engineering team in Mexico City. In this role, you will design, build, and optimize scalable data platforms and pipelines to support advanced analytics and data-driven decision-making.

Your responsibilities will include defining architecture, mentoring team members, and collaborating with cross-functional stakeholders to translate business requirements into scalable data solutions. Strong programming skills in Python, SQL, and experience with Big Data frameworks are essential.

The position offers a flexible working environment alongside a commitment to diversity, equity, and inclusion.