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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