Lead Agentic Data Systems Engineer (Hybrid) – Mexico City

Salesforce; Ciudad de México; Híbrido; MXN 1.575.079 - 2.100.105; Jornada completa

Descripción de la vacante

Salesforce is looking for a Principal Agentic Data Systems Engineer in Mexico City, offering a hybrid work model. The successful candidate will architect and manage a high-performing digital workforce made of autonomous agents, ensuring data tasks are executed efficiently. Applicants should have over 7 years of experience in Data Engineering, a strong background in Python and SQL, and expertise in generative AI. The role emphasizes innovative solutions that redefine data management within the company culture.

Formación

• 7+ years of experience in Data Engineering, Architecture, or Data Science.
• Expert-level proficiency in Python and SQL.
• History of using generative AI to boost productivity.

Responsabilidades

• Architect and maintain ecosystems of autonomous agents for data tasks.
• Transform high-level business requirements into data products autonomously.
• Ensure high governance standards for deployed tools.

Conocimientos

Python

SQL

AI-native development environments

Apache Spark

Docker

Kubernetes

Herramientas

dbt

Airflow

Snowflake

Descripción del empleo

Salesforce is looking for a Principal Agentic Data Systems Engineer in Mexico City, offering a hybrid work model. The successful candidate will architect and manage a high-performing digital workforce made of autonomous agents, ensuring data tasks are executed efficiently. Applicants should have over 7 years of experience in Data Engineering, a strong background in Python and SQL, and expertise in generative AI. The role emphasizes innovative solutions that redefine data management within the company culture.