Senior/Lead/Principal Data Engineer

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

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.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.