Senior GCP Data Architect: BigQuery, GenAI & Pipelines

UST; Mexico; Remote; MXN 900,000 - 1,500,000; Full time

Job summary

UST Global Mexico is seeking an experienced GCP Data Architect to join our engineering team and help us develop and maintain cloud-native data products. You will lead data pipelines, implement BigQuery-based solutions, and collaborate across teams to deliver scalable solutions.

Deep hands-on knowledge of GCP services, Vertex AI integration, and CI/CD practices is essential, as is strong Python and SQL proficiency.

Qualifications

• 6+ years of industry experience in cloud/data/platform engineering.
• Hands-on with Google Cloud Platform services: BigQuery, Composer/Airflow, Dataproc, Cloud Storage.
• Experience building and deploying backend APIs and cloud-native services.
• Solid containerization and orchestration: Docker, Kubernetes, GKE.
• Proficiency in Python for data processing and backend services.
• Strong SQL skills, especially BigQuery or similar warehouses.
• Experience with Vertex AI: pipelines, deployment, inference, GenAI integration.
• Data pipelines and ETL/ELT workflows in production.
• CI/CD pipelines: GitHub Actions, Jenkins; automated testing and promotion.
• Infrastructure-as-code, cloud reliability, incident response.
• GenAI adoption with production deployment/governance patterns.
• Self-directed problem solver; strong cross-team communication.

Skills

English fluency

Communication skills

Cloud engineering

Data engineering

Platform engineering

Python

SQL

BigQuery

Vertex AI

ETL/ELT

CI/CD

Docker

Kubernetes

GKE

Airflow/Composer

Dataproc

Cloud Storage

GenAI governance

Education

Bachelor's degree in computer science, engineering, or related field

Tools

BigQuery

Composer/Airflow

Dataproc

Cloud Storage

Docker

Kubernetes

GKE

Python

Vertex AI

GitHub Actions

Jenkins

IAM/ IaC

Job description

UST Global Mexico is seeking an experienced GCP Data Architect to join our engineering team and help us develop and maintain cloud-native data products. You will lead data pipelines, implement BigQuery-based solutions, and collaborate across teams to deliver scalable solutions.

Deep hands-on knowledge of GCP services, Vertex AI integration, and CI/CD practices is essential, as is strong Python and SQL proficiency.