This role redefines the data team model by shifting from traditional individual contribution to orchestrating a 'Team of One' that leverages autonomous agents
Job Summary
This role redefines the data team model by shifting from traditional individual contribution to orchestrating a 'Team of One' that leverages autonomous agents.
The successful candidate will architect a private ecosystem of 10+ specialized agents to handle ETL, QA, and predictive modeling workflows independently.
Salesforce offers a hybrid work environment in Mexico City where innovation is a way of life and AI tools accelerate impact across the organization.
Matching Summary
This role redefines the data team model by shifting from traditional individual contribution to orchestrating a 'Team of One' that leverages autonomous agents.
Skills & Requirements
Must-have
Python and advanced SQL proficiency
LangGraph agentic framework mastery
Snowflake and Apache Spark expertise
Model Context Protocol (MCP) server development
7+ years in Data Engineering or Architecture
Nice-to-have
Experience with Cursor or Codex environments
Knowledge of Data Mesh and Data-as-a-Product
Familiarity with Salesforce Core and Data 360
Background in chain-of-thought prompting
Key Requirements
7+ years of high-stakes Data Engineering experience
Senior-level operational leverage with generative AI