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Principal Data Engineer (PMTS) - MDM

4 Locations💼 Full-time💰 $197,300–$313,700🗓 2026-06-19 → 2026-07-31

Core

Define long-term technical vision, architecture, and execution strategy for Salesforce's Enterprise Knowledge Graph platform and AI-powered developer productivity solutions.

Role type

Principal Member of Technical Staff (PMTS), strategy & architectural leadership

Builds

Enterprise Knowledge Graph platform, semantic search, agentic applications, AI-powered engineering tools

Domain

Enterprise data platforms, Knowledge Graphs, Semantic Technologies, AI Engineering

Deliverable

production ML models | infrastructure

Required skills

Knowledge Graph technologies, ontology engineering, semantic modeling, graph databases, distributed systems, cloud-native architectures, AI infrastructure, enterprise data engineering, technical strategy

Preferred skills

Master's or PhD in CS/AI, Salesforce Data Cloud, semantic routing, vector databases, RAG, AI agents, MCP frameworks, industry publications

Technologies

Neo4j, TopQuadrant, RDF/OWL, SPARQL, AWS, GCP, Azure, Claude, Cursor, Windsurf, GitHub Copilot

Responsibilities

Define and drive long-term technical vision and roadmap for Knowledge Graph platform; Lead architecture and design for knowledge graph ecosystems and graph APIs; Establish enterprise standards and governance models for Knowledge Graph development; Define strategies for integrating structured and unstructured data into graph-based platforms; Drive technical direction for semantic routing, graph-powered retrieval, and agent orchestration; Lead teams in productionizing AI-enabled engineering solutions; Provide technical leadership and architectural guidance across multiple organizations.

Seniority

Principal, strategy & mentorship

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