Principal Data Engineer (PMTS, MDM)

Role Overview

Join Salesforce as a Principal Data Engineer (PMTS, MDM) to lead the development of the next-generation Enterprise Knowledge Graph platform. You will define the long-term technical vision, architecture, and delivery roadmap, enabling semantic technologies and AI-powered developer productivity use cases across the enterprise.

Key Responsibilities

• Define and drive the long-term technical vision, architecture, and roadmap for Salesforce’s Knowledge Graph platform.
• Lead the architecture and design of Knowledge Graph ecosystems, including:
  • graph data models
  • ontologies and semantic layers
  • entity resolution frameworks
• Establish enterprise standards, governance models, engineering patterns, and best practices for the Knowledge Graph lifecycle (development, deployment, and management).
• Deliver scalable foundations supporting current and future AI/semantic use cases across multiple teams.
• Drive execution across organizations by influencing senior technical leaders, executives, and cross-functional stakeholders.

Requirements

• Deep expertise in Knowledge Graph technologies, including:
  • ontology engineering and semantic modeling
  • linked data and enterprise metadata management
  • graph databases and semantic reasoning
• Proven track record leading large-scale technical initiatives and taking AI/engineering solutions from concept to production.
• Experience building and scaling enterprise Knowledge Graph platforms for AI, semantic search, data integration, and agentic applications.
• Strong distributed systems and software engineering fundamentals, including:
  • APIs, microservices
  • event-driven architectures
  • modern engineering practices
• Hands-on experience with graph/semantic technologies, such as:
  • Neo4j
  • RDF/OWL
  • SPARQL
  • property graph models and semantic reasoning frameworks
• Proven experience designing enterprise data engineering architectures (ingestion, transformation, orchestration, metadata management, governance).
• 12+ years of relevant experience in software engineering, data engineering, distributed systems, or enterprise data platforms.
• Strong communication, leadership, and stakeholder management skills.
• Related technical degree required; Master’s or PhD preferred.

Nice to Have / Additional Skills

• Experience building AI-powered developer tools and platforms using ecosystems/tools such as GitHub Copilot, AI agents, MCP frameworks, or similar.
• Graph-powered AI architecture experience (e.g., semantic retrieval, vector search, RAG, agentic workflows).
• Cloud-native architecture experience with AWS, GCP, or Azure.
• Experience with Salesforce Data Cloud, CRM platforms, or metadata-driven enterprise architectures.
• Experience with vector databases and semantic routing / intelligent retrieval / recommendations.

Location / Work Model

• Full remote (San Francisco, US).