Job Description
UST Integral Mexico is looking for an experienced and passionate GCP data architect to join our engineering team and help us develop and maintain various software products.
Required: 6+ years of industry experience in cloud engineering, data engineering, or platform engineering
Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage)
Experience building and deploying backend APIs and cloud-native services
Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE)
Proficiency in Python for data processing, orchestration, or backend services
Strong SQL skills, particularly with BigQuery or similar cloud data warehouses
Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration)




Experience building and operating data pipelines and ETL/ELT workflows in a production environment
Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion
Understanding of infrastructure-as-code, cloud reliability, and production incident response
Experience enabling adoption of GenAI capabilities with production-ready deployment and governance patterns
Self-directed problem solver willing to read documentation, research solutions, and reach out across teams to drive results
Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders
Bachelor's degree in computer science, engineering, or related field
+Fluent in English

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📌 GCP Data engineering - Remoto! (Ciudad de México)
🏢 Ust
📍 Ciudad de México