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Principal Data Engineer

Principal Data Engineer

Salesforce, Inc..Ciudad de México, Mexico
Hace 13 horas
Descripción del trabajo

Overview

PRINCIPAL DATA ENGINEER , Mexico City

About the Role : We’re building the product data platform that will power Salesforce’s next era of agentic intelligence — delivering smarter, adaptive, and self-optimizing product experiences.

As a Full-Stack Data Engineer, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents. You’ll work on :

  • Near real-time and batch telemetry pipelines for trusted signal capture
  • Semantic layers and data products for reusable insights
  • Programmatic discovery via metadata, MCP, and knowledge graphs

This isn’t a typical data engineering role. We’re looking for creative, systems-minded engineers working outside of the “data engineer” box, fluent in both data and AI, and excited to navigate ambiguity, cross boundaries, and drive real impact.

What You’ll Do

  • Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT
  • Design programmatic consumption layers to make product signals easy to define, discover, and reuse
  • Apply software engineering best practices to data systems : testing, CI / CD, observability
  • Evolve systems to support not just human analysis, but autonomous agent reasoning
  • Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products
  • Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders
  • What We’re Looking For

  • 8+ years of experience in data engineering, with strong software engineering fundamentals
  • Expertise with big data frameworks : Spark, Trino / Presto, DBT, Snowflake
  • Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions)
  • Solid understanding of semantic layers, data modeling, and metrics systems
  • Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization
  • Bonus : fluency in AI data engineering patterns and tools like MCP
  • Bonus : experience with knowledge graphs and modern metadata systems
  • Strong communicator and collaborator — comfortable working across teams and domains
  • Curious, pragmatic, and impact-driven mindset
  • Why Join Us

    Help shape how Salesforce leads the digital labor revolution. You’ll be at the heart of transforming raw product signals into intelligent decisions — for everyone from engineers to sales reps to AI agents. If you’re excited to design resilient, trusted, and intelligent systems at scale, we’d love to hear from you.

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    Data Engineer • Ciudad de México, Mexico

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