Salesforce

Principal Data Engineer (PMTS) - MDM

Salesforce
US San Francisco, CA, US
Onsite 2026-06-21
Announced salary
$197k–$345k
Market rate in San Francisco : $123K - $211K (median $161K) · BLS OEWS 2025

Job description

*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** Salesforce is building the next generation Enterprise Knowledge Graph platform to power AI\-driven experiences, agentic applications, semantic search, enterprise data discovery, and intelligent decision\-making across the company. The platform will serve as the foundational knowledge layer connecting enterprise data, business entities, ontologies, and relationships across multiple domains. We are seeking a Principal Member of Technical Staff (PMTS) to provide technical leadership and architectural direction for Salesforce's Enterprise Knowledge Graph strategy. This role will be responsible for defining the long\-term vision, architecture, and execution strategy for Knowledge Graph platforms, semantic technologies, ontology\-driven systems, graph data engineering, and AI\-powered developer productivity solutions. The PMTS will partner closely with Architecture, Product Management, Ontology, Data Engineering, and AI Platform teams to establish a scalable foundation that supports current and future agentic AI use cases across the enterprise. In addition to Knowledge Graph leadership, this role will drive the strategy an

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