Data Engineer Senior

Salesforce Salesforce · Enterprise · Mexico City, Mexico

Senior Data Engineer responsible for architecting, building, and scaling data pipelines and data graphs to support AI agents and intelligent customer interactions. This role focuses on ensuring data quality, reliability, and freshness, and integrating data across various systems for AI consumption.

What you'd actually do

  1. Build the data architecture and catalog for AI consumption and human augmentation, leading with precision, rigor, and scale.
  2. Build on top of identity graphs, overlaying structured, unstructured, and real-time insights to power agentic systems and human-facing applications.
  3. Establish and enforce rigorous technical standards for data quality, latency, and index freshness, ensuring AI agents provide reliable, real-time insights.
  4. Partner with engineering leaders, product managers, decision scientists, and data scientists to translate complex business needs into scalable, production-ready solutions.
  5. Lead high-impact initiatives to automate data delivery pipelines, ensuring seamless integration across internal databases, third-party APIs, and the AI orchestration layer.

Skills

Required

  • Data Architecture
  • Data Engineering
  • Data Pipelines
  • Data Quality
  • Real-time Data Processing
  • ETL/ELT
  • SQL
  • Python
  • Cloud Platforms (AWS, Azure, GCP)
  • Big Data Technologies (Spark, Hadoop)
  • API Integration
  • Software Engineering Practices
  • Production Support
  • On-call Rotation

Nice to have

  • Customer Graphs
  • Identity Graphs
  • AI/ML Data Requirements
  • Data Cataloging
  • Third-party API Integration
  • AI Orchestration Layer Integration
  • AI-assisted coding tools

What the JD emphasized

  • ground our AI agents in accurate, real-time, high-context data
  • ensure absolute data quality, reliability, and freshness
  • partner across engineering, data science, and product teams
  • create the unified data backbone that powers Agentforce's personalized, intelligent customer interactions
  • AI consumption
  • agentic systems
  • AI agents
  • AI Integration & Automation
  • AI orchestration layer
  • embedding AI tools into your daily workflow

Other signals

  • architect, build, and scale foundational data pipelines and data graphs that ground AI agents
  • ensure absolute data quality, reliability, and freshness
  • partner across engineering, data science, and product teams
  • create the unified data backbone that powers Agentforce's personalized, intelligent customer interactions