Lead Agentic Data Systems Engineer

Salesforce UK

Mexico City, Mexico
Hybrid
5+ years data engineering experience
Python, dbt, airflow, advanced sql
Apache spark and snowflake proficiency
This role redefines the data team model by managing complex hand-off protocols between specialized AI agents rather than human personnel

Job Summary

  • This role redefines the data team model by managing complex hand-off protocols between specialized AI agents rather than human personnel.
  • The engineer will architect a private ecosystem of 10+ autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling.
  • Candidates must demonstrate a documented history of using generative AI to accelerate personal and departmental output by orders of magnitude.

Matching Summary

This role redefines the data team model by managing complex hand-off protocols between specialized AI agents rather than human personnel.

Skills & Requirements

Must-have

  • 5+ years Data Engineering experience
  • Python, dbt, Airflow, advanced SQL
  • Apache Spark and Snowflake proficiency
  • LangGraph agentic framework mastery
  • Model Context Protocol (MCP) server development
  • Chain-of-thought prompting expertise

Nice-to-have

  • Generative AI workflow acceleration
  • Self-healing digital immune system design
  • Strategic autonomy in data strategy
  • Salesforce Core and Data 360 knowledge
  • Docker and Kubernetes orchestration

Key Requirements

  • 5+ years high-stakes Data Engineering or Architecture experience
  • Strong Python and SQL expertise
  • Operational leverage with generative AI tools
  • Domain Data Officer strategic autonomy capability

Work Rights

Not specified

Tailored Resume

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