Lead AI-Driven Data Systems Architect

Salesforce, Inc.; Ciudad de México; Híbrido; MXN 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

Salesforce, Inc. in Mexico City is seeking a Lead Agentic Data Systems Engineer to architect and deliver production-grade data products. You will own end-to-end data pipelines, coordinate AI agent orchestration, and ensure governance across Snowflake, Salesforce, AWS and internal catalogs.

This role combines hands-on engineering with strategic autonomy in a hybrid work setting. As a senior engineer, you will shape the data platform, implement robust ETL/ELT patterns, and collaborate with

Formación

• 5+ years of experience in high-stakes Data Engineering, Architecture, or Data Science.
• Strong Python and SQL expertise with production-grade data pipelines.
• Experience with agentic AI, multi-agent orchestration, and data governance.

Responsabilidades

• Architect and maintain a private ecosystem of 10+ autonomous agents for ETL, data generation, QA, and modeling.
• Design multi-step reasoning architectures and verification protocols for autonomous agent outputs.
• Transform complex business requirements into production-ready data products with minimal supervision.

Conocimientos

Python

SQL

ETL

Airflow

dbt

Snowflake

Kubernetes

Spark

AI/Agentic development

Herramientas

Snowflake

dbt

Airflow

Python

Spark

Kubernetes

Descripción del empleo

Salesforce, Inc. in Mexico City is seeking a Lead Agentic Data Systems Engineer to architect and deliver production-grade data products. You will own end-to-end data pipelines, coordinate AI agent orchestration, and ensure governance across Snowflake, Salesforce, AWS and internal catalogs.

This role combines hands-on engineering with strategic autonomy in a hybrid work setting. As a senior engineer, you will shape the data platform, implement robust ETL/ELT patterns, and collaborate with