Principal Data Platform Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience 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. What You'll Actually Be Doing   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. You're Our Person If... 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. Even Better If... You have hands-on experience with dbt, Airflow, Snowflake, or Iceberg-based lakehouse architectures. You've worked with Model Context Protocol (MCP) or built conversational/agentic tools on a platform like Slack. You have experience layering AI capabilities into existing production systems. You have experience with data observability or data-quality/governance tooling. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and   be your best , and our AI agents accelerate your impact so you can   do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data