Senior Data Engineer - Knowledge Graph & AI Platform

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Salesforce is seeking a senior software engineer to build and scale its Enterprise Knowledge Graph platform. You will focus on performance, data throughput, reliability, high availability, and data integrity across graph components.

You\'ll develop graph data models, write complex queries, and construct scalable pipelines to map data to enterprise ontologies. You will mentor engineers and collaborate with PMs and data teams to deliver AI-driven features at scale.

Qualifications

• 8+ years of hands-on software engineering experience.
• A related technical degree required.
• Expert-level coding skills in Python and OO/FP languages.
• Experience with semantic routers, embeddings, LangChain, and RAG architectures.
• Graph databases and mapping data to taxonomies.

Responsibilities

• Build and scale the knowledge graph platform components with a focus on performance, reliability, and data integrity.
• Develop graph data models, queries, and pipelines to map data to ontologies and taxonomies.
• Write Python-based semantic routing to parse and direct queries to appropriate indexes or vector databases.
• Leverage AI tooling to build developer tools and automation across engineering workflows.
• Ingest, transform, and orchestrate data sources into graph-based platforms aligned with enterprise ontologies.
• Own features from concept through design, coding, testing, and deployment.
• Participate in code reviews and maintain automated tests and engineering standards.
• Mentor engineers and collaborate with Lead/Principal Engineers, PMs, and Data Eng teams.

Skills

Python

Backend development

Distributed systems

Data engineering

Code reviews

Education

Bachelor's degree in a technical field

Tools

Neo4j

RDF/OWL

SPARQL

LangChain

Kafka

AWS/GCP/Azure

Job description

Salesforce is seeking a senior software engineer to build and scale its Enterprise Knowledge Graph platform. You will focus on performance, data throughput, reliability, high availability, and data integrity across graph components.

You\'ll develop graph data models, write complex queries, and construct scalable pipelines to map data to enterprise ontologies. You will mentor engineers and collaborate with PMs and data teams to deliver AI-driven features at scale.