Principal Data Engineer (PMTS) - MDM
California - San Francisco, United States
USD 197K-344K Senior-level Full Time
Tasks
- Define strategy for AI powered developer tooling engineering automation and productivity platforms
- Define technical vision and architecture roadmap for knowledge graph platform
- Drive semantic routing graph powered retrieval and enterprise search direction
- Establish standards governance and engineering best practices for knowledge graph lifecycle
- Evaluate select and adopt graph technologies semantic platforms vector databases and AI infrastructure
- Integrate structured unstructured and third party data into graph platforms
- Lead knowledge graph ecosystem architecture including graph data models and ontologies
- Lead productionization of AI enabled engineering solutions for scalability security and reliability
- Provide technical leadership for cross org architecture decisions and long term engineering strategy
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Azure | Cloud Native | Cloud Native Architecture | Data Governance | Data Ingestion | Data Modeling | Data Transformation | Distributed Systems | Enterprise Search | Entity Metadata Management | Entity Resolution | Event Driven | Event-driven architecture | GCP | Graph APIs | Graph Data | Graph Data Modeling | Graph Databases | Graph Powered Retrieval | Knowledge graph | Linked Data | Metadata Management | Microservices | Neo4j | Ontology Engineering | Ontology Governance | Orchestration | Property Graph | RAG | RDF/OWL | Retrieval-Augmented Generation | SPARQL | Security Governance | Semantic Modeling | Semantic Platforms | Semantic Reasoning | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
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