Data Engineer (SMTS/LMTS) - Knowledge Graph & AI
Salesforce
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How this pay compares to similar roles
This role pays more than 86% of similar roles. Most pay $177,750–$232,000 — the shaded band above. At the midpoint, this role pays about $256k versus about $205k for comparable roles.
Based on 239 similar postings.
Employer
Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing
Salesforce currently has 127 open roles on FindRole.
Listed pay typically runs $171,200–$260,100 across 107 roles with salary data.
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At a glance
As a Principal Member of Technical Staff at Salesforce, you will provide technical leadership and architectural direction for the Enterprise Knowledge Graph platform, driving its long-term vision and execution strategy. You will collaborate with Architecture, Product Management, Ontology, Data Engineering, and AI Platform teams to establish scalable foundations supporting agentic AI use cases across the enterprise. Key responsibilities include defining data integration strategies, establishing engineering standards, and leading the productionization of AI-powered developer tools that enhance productivity and operational efficiency. The ideal candidate has extensive experience with graph technologies like Neo4j and RDF/OWL, as well as expertise in cloud-native architectures, distributed systems, and modern software practices. This role demands a deep understanding of Knowledge Graph technologies and proven success in leading large-scale technical initiatives, making it crucial for driving innovation and fostering engineering excellence within Salesforce’s expansive ecosystem.
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