Lead Agentic Data Architect & AI Orchestrator

Salesforce.com, inc.; Ciudad de México; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Salesforce.com, inc. seeks a Principal Agentic Data Systems Engineer to lead the design and supervision of autonomous agent workflows across ETL, QA, governance, and analytics. You’ll push forward a human-in-the-loop model, coordinating a fleet of specialized AI agents and ensuring secure access to enterprise data sources.

You will shift from coding to high-level system design, creating scalable data products and overseeing end-to-end data strategy with minimal supervision.

Formación

• 7+ years of experience in high-stakes Data Engineering, Architecture, or Data Science.
• Senior experience with Python & SQL.
• Operational leverage: documented history of using generative AI to accelerate output.
• Strategic autonomy: ability to function as a Domain Data Officer with minimal supervision.
• Technical intuition: ability to identify subtle logic errors or hallucinations in agentic output.

Responsabilidades

• Autonomous Scaling: Architect and maintain a private ecosystem of 10+ autonomous agents specialized in ETL, synthetic data generation, automated QA, and predictive modeling.
• Agentic Orchestration: Design multi-step reasoning architectures and verification protocols for autonomous validation of outputs.
• Complex Problem Resolution: Transform high-level requirements into production-ready data products independently.
• Governance & Oversight: Governance as code for data pipelines and agent development with context awareness.
• Contextual Integration: Develop MCP servers to access Snowflake, Salesforce, AWS, and internal data catalogs securely.

Conocimientos

Python

SQL

dbt

Airflow

Apache Spark

Snowflake

Cursor

Codex

Claude Code

LangGraph

MCP servers

Prompt Engineering

Chain-of-thought prompting

Self-correction loops

Iterative reasoning

Salesforce Core & Data 360

Data Mesh

DaaP

Event-Driven Architecture

Docker

Kubernetes

Herramientas

Salesforce

Snowflake

Docker

Kubernetes

Airflow

dbt

Apache Spark

Descripción del empleo

Salesforce.com, inc. seeks a Principal Agentic Data Systems Engineer to lead the design and supervision of autonomous agent workflows across ETL, QA, governance, and analytics. You’ll push forward a human-in-the-loop model, coordinating a fleet of specialized AI agents and ensuring secure access to enterprise data sources.

You will shift from coding to high-level system design, creating scalable data products and overseeing end-to-end data strategy with minimal supervision.