IMPORTANT: This position is ONLY for candidates currently based in Mexico and legally authorized to work in Mexico. Applications from outside Mexico will be automatically REJECTED

CONSULTFIZ LATAM, a fully owned subsidiary of Confiz LLC, is looking for a Data Platform Engineer with strong experience in Python, GCP, Airflow, and Terraform to design, develop, and maintain scalable data orchestration platforms and self-service solutions. The idóneo candidate will have hands-on experience with ETL/ELT pipelines, cloud data infrastructure, data orchestration, streaming technologies, and Infrastructure as Code (IaC). This role is for a Fortune 500 client.

Responsibilities:

• Design, evolve, and maintain scalable data orchestration platforms that simplify ETL/ELT operations and abstract the complexities of big data technologies.

• Build and maintain self-service platform capabilities for engineers, data scientists, and analysts.

• Develop and maintain integrations with diverse data sources and destinations, including Kafka, GCS, BigQuery, Postgres, and S3,



supporting both batch and real-time processing.

• Provision and manage cloud data infrastructure using Terraform, leveraging automated and version-controlled Infrastructure as Code pipelines.

• Build, maintain, and orchestrate reliable data pipelines using Airflow and Kubernetes.

• Develop platform tooling, automation, services, and CLIs using Python.

• Build and operate metadata management, data cataloging, governance, and data-lineage capabilities to make enterprise data discoverable and trustworthy.

• Design scalable and resilient solutions capable of handling large data volumes, high velocity, and diverse data formats.

• Apply modern CI/CD and Git-based workflows to platform and data pipeline delivery.

• Evaluate and incorporate emerging big data, ETL, and AI-assisted development technologies where appropriate.

• Create and maintain comprehensive technical and user documentation for platform capabilities

📌 Data Platform Engineer (Monterrey)
🏢 Confiz
📍 Monterrey