Principal Agentic Data Systems Engineer (Hybrid)

Salesforce; Ciudad de México; Híbrido; MXN 1.223.348 - 1.747.641; Jornada completa

Descripción de la vacante

Salesforce in Mexico City is seeking a Principal Agentic Data Systems Engineer to architect and maintain autonomous systems for data engineering and analytics. This hybrid role requires mastering data engineering alongside AI-native environments.

The ideal candidate possesses 7+ years in high-stakes data roles and excels in Python, SQL, and autonomous systems. Join Salesforce to innovate and drive success through cutting-edge technology.

Formación

• 7+ years of experience in high-stakes Data Engineering, Architecture, or Data Science.
• Senior experience with Python and SQL.
• Documented history of using generative AI to accelerate personal and departmental output.

Responsabilidades

• Architect a private ecosystem of autonomous agents for data engineering tasks.
• Design verification protocols for agent outputs.
• Transform ambiguous business requirements into data products.

Conocimientos

Python

SQL

Data Engineering

Apache Spark

ETL processes

AI-native development

Educación

7+ years in Data Engineering, Architecture, or Data Science

Herramientas

dbt

Airflow

Snowflake

Docker

Kubernetes

Descripción del empleo

Salesforce in Mexico City is seeking a Principal Agentic Data Systems Engineer to architect and maintain autonomous systems for data engineering and analytics. This hybrid role requires mastering data engineering alongside AI-native environments.

The ideal candidate possesses 7+ years in high-stakes data roles and excels in Python, SQL, and autonomous systems. Join Salesforce to innovate and drive success through cutting-edge technology.