GCP Data Pipeline Architect & Cloud Solutions Lead

Lincoln Motor Company; Ciudad de México; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Ford of Mexico is seeking a Data Engineer/Data Platform Architect to design and maintain scalable data ingestion pipelines on Google Cloud Platform. You will ensure data quality, governance, and secure data access for analytics and decision-making.

The role emphasizes SQL, Python, Java, and hands-on experience with BigQuery, Dataflow, and Dataproc, plus Terraform and CI/CD for IaC. Collaboration with architects and stakeholders is essential.

Formación

• Bachelor's degree or equivalent practical experience in CS/IT/IS or related field.
• 5–7 years of experience in Data Engineering or Software Engineering.
• Strong English skills.
• Minimum 2 years building and deploying cloud-based data platforms on GCP.

Responsabilidades

• Design and maintain scalable data ingestion and curation pipelines.
• Ensure data standardization, quality, and analytics readiness.
• Develop data platforms using Python, SQL, and DBT/Dataform.

Conocimientos

SQL

Python

Java

GCP

CI/CD

IaC

Data Pipelines

Data Governance

Security

Problem Solving

Communication

Educación

Bachelor's degree in CS/IT/IS or related

5–7 years Data/Software Engineering

Herramientas

Terraform

Tekton

Astronomer

Dataform

DBT

Apache Airflow

Descripción del empleo

Ford of Mexico is seeking a Data Engineer/Data Platform Architect to design and maintain scalable data ingestion pipelines on Google Cloud Platform. You will ensure data quality, governance, and secure data access for analytics and decision-making.

The role emphasizes SQL, Python, Java, and hands-on experience with BigQuery, Dataflow, and Dataproc, plus Terraform and CI/CD for IaC. Collaboration with architects and stakeholders is essential.