Ontology Architect: Enterprise Knowledge Graphs & Semantics

Tiger Analytics Inc.; United States; Remoto; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Tiger Analytics Inc. is seeking an Ontology Architect to lead enterprise ontology design, knowledge graph architecture, and semantic-layer strategies. You will guide governance and data interoperability across business units, collaborating with data teams to augment data products using a centralized ontology.

You will apply advanced semantic technologies, work with production-grade graph databases, and drive scalable data modeling practices in a fast-growing analytics environment.

Competenze

• Lead the design and evolution of ontologies, taxonomies, and controlled vocabularies.

Mansioni

• Ontology & Taxonomy Design: Lead the creation, modeling, and evolution of enterprise-wide ontologies, taxonomies, and controlled vocabularies that accurately represent complex business domains.
• Knowledge Graph Architecture: Design and implement scalable architecture, ingestion pipelines, and governance for enterprise Knowledge Graphs (Triple Stores or Property Graphs).
• Semantic Layer Strategy: Build and maintain the enterprise semantic layer to abstract physical data complexities, providing a unified, machine-readable business view of data.
• Data Product Augmentation: Partner with domain data teams to map, link, and augment decentralized Data Products using the central ontology to ensure semantic interoperability across the organization.
• Inference & Reasoning: Implement semantic reasoning and inference rules to automatically generate new metadata and uncover hidden insights within the graph.
• Governance & Standards: Establish best practices, version control mechanisms, and data contracts for semantic models, ensuring consistent graph schema updates across business units.
• Semantic Standards: Expert-level mastery of core semantic technologies
• Knowledge Graph Engineering: Hands-on experience designing and operating production-grade Graph Databases / Triple Stores (e.g., GraphDB, Stardog, Amazon Neptune, AllegroGraph, or Neo4j).
• Ontology Modeling Tools: Proficiency with industry-standard ontology engineering and taxonomy management software (e.g., Protégé, TopBraid Composer, PoolParty).
• Modern Data Frameworks: Clear, practical understanding of Data Mesh paradigms, specifically how to design a semantic layer that overlays federated, domain-driven Data Products.
• Traditional Data Modeling: Strong baseline in classic data concepts, including relational databases, dimensional modeling, and ETL/ELT integration patterns.
• Data Quality & Validation: Hands-on experience to enforce data quality and constraint validation across graph structures.
• Advanced AI & Graph Analytics: Familiarity with graph algorithms, graph machine learning (GNNs), or leveraging Knowledge Graphs to enhance Large Language Model architectures via Graph RAG (Retrieval-Augmented Generation).

Conoscenze

Ontology design

Knowledge graph

Semantic layer

Data product mapping

Inference & reasoning

Governance & standards

Graph databases

Ontology tooling

Data mesh understanding

Traditional data modeling

Data quality & validation

Graph analytics & GNNs

Strumenti

GraphDB

Stardog

Amazon Neptune

AllegroGraph

Neo4j

Protégé

TopBraid Composer

PoolParty

Descrizione del lavoro

Tiger Analytics Inc. is seeking an Ontology Architect to lead enterprise ontology design, knowledge graph architecture, and semantic-layer strategies. You will guide governance and data interoperability across business units, collaborating with data teams to augment data products using a centralized ontology.

You will apply advanced semantic technologies, work with production-grade graph databases, and drive scalable data modeling practices in a fast-growing analytics environment.