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 and workflows.

📌 Data Platform Engineer (Monterrey)
🏢 Confiz
📍 Monterrey