Job Details

Senior/Lead/Principal Data Engineer

Office hybrid in San Francisco, Dallas or Seattle

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

• 5+ years of experience in data engineering, with strong software engineering fundamentals

• Expertise with big data frameworks

  Spark, Trino/Presto, DBT

  
  

• Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions)

• Solid understanding of semantic layersdata 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

• Bonus: experience with Snowflake

• 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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