Principal Data Platform Engineer, Salesforce

• You have 15+ years of experience designing, building, and operating production backend services at scale, with expert-level Python, Go, or Java
• You have hands-on experience building and deploying production AI/LLM applications, including RAG pipelines and tool-calling agents — not just research or prototypes
• You have deep experience with cloud infrastructure (AWS), infrastructure as code, and CI/CD pipelines for containerized services
• You have strong knowledge of identity and security practices, including OAuth/OIDC, least-privilege access, and multi-tenant isolation
• A related technical degree required

Desirable

• The Developer Experience team builds the tooling, paved paths, and automation that let Salesforce's data teams ship discoverable, governed, and consumable data products quickly and safely
• As our Principal Data Platform Engineer, based in San Francisco, you'll design and build the backend services, data-platform automation, and AI agent systems that power our Snowflake-based lakehouse — setting technical direction for how the rest of the org builds on top of it
• Design and build backend services and event-driven systems that support our data platform, including AI agent runtimes and API integrations
• Build retrieval-augmented generation (RAG) pipelines and tool-calling AI agents that make our data products and catalog easier to discover, query, and trust
• Extend the platform's automation, command-line tooling, and shared utilities that data teams rely on as their day-to-day interface to the platform
• Set technical direction through system and API design, code review, and mentoring, while owning service reliability, delivery, and cost efficiency