AI-Driven Data Platform Engineer – Backend & RAG

salesforce.com, inc.; San Francisco (CA); On-site; USD 197,000 - 314,000; Full time

Job summary

Salesforce is seeking a Principal Data Platform Engineer in San Francisco to design and build backend services and AI agent systems powering a Snowflake-based lakehouse. You will drive technical direction, develop RAG pipelines, and scale automation for data teams.

Ideal candidates have 15+ years in backend systems, expert Python/Go/Java, and strong cloud/IaC/CI/CD experience, plus security and multi-tenant knowledge. This role sits at the core of Agentforce and data platforms.

Qualifications

• 15+ years designing, building, and operating production backend services at scale.
• Expert-level Python, Go, or Java.
• Hands-on production AI/LLM applications with RAG pipelines.
• Cloud infrastructure (AWS), IaC, and CI/CD for containerized services.
• Identity and security practices including OAuth/OIDC, least-privilege, and multi-tenant isolation.

Responsibilities

• Design and build backend services and event-driven systems for the data platform.
• Build retrieval-augmented generation (RAG) pipelines and tool-calling AI agents.
• Extend automation, tooling, and utilities used by data teams.
• Set technical direction through system and API design, code reviews, and mentoring; own reliability and cost efficiency.

Skills

Python

Go

Java

Education

Bachelor's degree in CS/Engineering

Tools

dbt

Airflow

Snowflake

Iceberg

Job description

Salesforce is seeking a Principal Data Platform Engineer in San Francisco to design and build backend services and AI agent systems powering a Snowflake-based lakehouse. You will drive technical direction, develop RAG pipelines, and scale automation for data teams.

Ideal candidates have 15+ years in backend systems, expert Python/Go/Java, and strong cloud/IaC/CI/CD experience, plus security and multi-tenant knowledge. This role sits at the core of Agentforce and data platforms.