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Ontology Architect

1 week, 1 day ago
United States
Full-time
Lead
Data Architect
Data Science and Analytics
LLM Neo4j
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Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 74

Description

  • Lead the creation, modeling, and evolution of enterprise ontologies, taxonomies, and controlled vocabularies.
  • Design and implement scalable knowledge graph architectures, ingestion pipelines, and governance for enterprise graph systems.
  • Build and maintain the enterprise semantic layer to provide a unified, machine-readable view of business data.
  • Partner with domain data teams to map, link, and augment decentralized data products using a central ontology.
  • Implement semantic reasoning and inference rules to generate metadata and surface hidden insights within graphs.
  • Establish best practices, version control mechanisms, and data contracts for semantic models.
  • Ensure consistent graph schema updates across business units.
  • Influence product direction and support high-impact applied engineering and analytics initiatives.

Requirements

  • Expert-level mastery of core semantic technologies.
  • Hands-on experience designing and operating production-grade graph databases or triple stores such as GraphDB, Stardog, Amazon Neptune, AllegroGraph, or Neo4j.
  • Proficiency with ontology engineering and taxonomy management tools such as Protégé, TopBraid Composer, or PoolParty.
  • Practical understanding of Data Mesh paradigms and how to design a semantic layer over federated, domain-driven data products.
  • Strong baseline in relational databases, dimensional modeling, and ETL/ELT integration patterns.
  • Experience enforcing data quality and constraint validation across graph structures is preferred.
  • Familiarity with graph algorithms, graph machine learning, or using knowledge graphs to enhance LLM architectures via Graph RAG is preferred.

Benefits

  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment.
  • High degree of individual responsibility.
  • Equal employment opportunity regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

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