Senior Data Engineer — Lead Cloud Data Pipelines (Remote)

Astrafy SA; Monterrey; Híbrido; MXN 600.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Remote work options

Training & development

Team-building events

Descripción de la vacante

Astrafy SA is opening a new engineering hub in Monterrey and seeks a data engineering leader to own the team as we scale. You will design and maintain scalable data pipelines using Airflow, dbt, BigQuery, and Pub/Sub, while optimizing Google Cloud infrastructure and practicing Infrastructure as Code with Terraform.

You will drive data governance, quality, and architecture evolution, mentoring engineers and promoting best practices across the organization.

Formación

• Experience with modern data stack tools (Airflow, dbt, BigQuery, Pub/Sub) is highly valued.
• Ability to design scalable data pipelines and data governance practices.
• Strong communication and collaboration across cross-functional teams.

Responsabilidades

• Lead, mentor, and drive high-quality project delivery within the engineering team.
• Own and evolve data pipelines using Airflow, dbt, BigQuery, Pub/Sub and Google Cloud tools.
• Optimize data infrastructure in Google Cloud for performance, cost, and security.
• Implement Infrastructure as Code with Terraform to automate provisioning.
• Establish data governance, quality, and security across the data lifecycle.
• Continuously refine data architecture to scale with business needs.
• Promote innovation and adoption of best practices in data engineering.

Conocimientos

Airflow

dbt

BigQuery

Terraform

GCP

Data governance

Leadership

English

Spanish

Continuous learning

Educación

Bachelor's in Computer Science

Herramientas

Pub/Sub

Cloud Composer

Kubernetes

Descripción del empleo

Astrafy SA is opening a new engineering hub in Monterrey and seeks a data engineering leader to own the team as we scale. You will design and maintain scalable data pipelines using Airflow, dbt, BigQuery, and Pub/Sub, while optimizing Google Cloud infrastructure and practicing Infrastructure as Code with Terraform.

You will drive data governance, quality, and architecture evolution, mentoring engineers and promoting best practices across the organization.