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 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
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.