Ontologist / Knowledge Engineer / Knowledge Graph Engineer - Via Ex-Amazonians What does it actually mean to work as an Ontologist or Knowledge Engineer? A detailed job description - built with input from practitioners who've done the work at Amazon - breaks it down clearly. The role sits at the intersection of data, semantics, AI, and business understanding. It combines ontology development, knowledge graph design, semantic modeling, data integration, and stakeholder communication. In practice it can range from highly conceptual ontology architecture to hands-on pipelines, graph queries, and system design. The title varies. You might see: Ontologist, Knowledge Engineer, Knowledge Graph Engineer, Semantic Layer Specialist, or simply Data Engineer. Many organizations use overlapping or imperfect titles, especially when ontology work is embedded inside larger data or AI teams. Core responsibilities include: Defining concepts, entities, relationships, and semantic structures Building and maintaining knowledge graphs Connecting datasets with inconsistent schemas or terminology Supporting AI, search, recommendation, and question-answering systems Translating business concepts into machine-readable models Facilitating conversations between departments with conflicting terminology Key skills span three areas: Knowledge Engineering: identifying reliable data sources, writing mappings between data sources and ontologies, developing consistency and reasoning engines, writing graph queries (SPARQL, Cypher, TKQL), handling linguistic ambiguities, regression and progression testing, creating data visualization templates. Ontology Work: scoping use cases and competency questions, gathering SME input, modeling and extending ontologies, writing inference rules and reasoning logic, improving guidelines and naming conventions, internationalizing ontologies. Data Engineering: ETL pipeline development, knowledge graph performance metrics, data integration across formats and schemas. A typical day might include meeting with stakeholders to clarify terminology, designing ontology structures, mapping incoming datasets into a graph model, writing design documents, and educating internal teams about semantic layers. Key personal traits: highly organized, comfortable with ambiguity, patient communicator, able to balance idealism with practicality. By Ashleigh Faith, Beth Homes and Christelle Maignan (Ex-Amazonians) youtube.com/watch?v=Sdh3wFbo… #KnowledgeEngineering #Ontology #SemanticModeling #DataEngineering #EnterpriseAI -- Connected Data London 2026 | 11–12 November | Leonardo Royal Hotel London Tower Bridge 🎤 Share your work with the world's most passionate data community. The Call for Submissions is open. connected-data.london/2026-c… 🎟 Tickets on sale now. Early bird discounts up to 30%. 2026.connected-data.london?u… 📺 Sponsorship opportunities available. Contact info@connected-data.london for details. #KnowledgeGraph #GraphRAG #Ontology #Graph #AI #DataScience #GraphDB #SemTech

🚀 #FabConEurope Session: Demystifying Semantic Modeling in Microsoft Fabric 📢 Speaker: Emily Lisa & Zoe Douglas Learn more 👉 ow.ly/vYI750WhvVf #Microsoft #FabCon #MicrosoftFabric #PowerBI #DirectLake #SemanticModeling #DataAnalytics #BIInnovation #RealTimeInsights

Get ready as Emily and Zoe prepare to unleash an incredible session on semantic modeling in Power BI and Fabric! Don’t miss out on this session! #fabcon2025 #PowerBI #SemanticModeling

Great presentation from Brent Meulebroeck on Microsoft Fabric Semantic Link and best-practices for Power BI #SemanticModeling. Even landed in the big auditorium at #SQLSatMN! Thank you to @PASSMN all the sponsors, speakers, and volunteers for making this event happen!

#specialissue #callforreading Application of Semantic Technologies in Sensors and Sensing Systems mdpi.com/journal/sensors/spe… Guest Editors: Dr. Chang Choi, Dr. Kiho Lim and Dr. Gyuho Choi #SemanticModeling #MachineLearning #semanticWeb #AIdriven_semantic_applications

Combining a highly scalable & robust #RDFdatabase w/ @metaphacts' metaphactory’s powerful capabilities for #semanticmodeling, intuitive search & #dataexploration are already game-changers for data curators & library visitors. hubs.la/Q01VqQJj0 #knowledgegraphs #graphdb

Combining a highly scalable & robust #RDFdatabase w/ @metaphacts' metaphactory’s powerful capabilities for #semanticmodeling, intuitive search & #dataexploration are already game-changers for data curators & library visitors. hubs.la/Q01VqZv50 #knowledgegraphs #graphdb

Meet the @SAPLabsIndia team working on #SAPDatasphere, announced in Mar, 2023. Proud of their contribution to offer unified experience for #dataintegration, #datacataloging, #semanticmodeling, #datawarehousing, #datafederation, and #datavirtualization- leveraging #SAPDatasphere.

Another amazing #metaphacts #CustomerAdvisoryBoard meeting - this time on the future of #SemanticModeling & how we can further enhance #metaphactory to best serve our customers! Thank you to all participants for their commitment & extremely valuable input during the meeting!

schemantra.com/blog/2023/01/… #SEO #semanticModeling

A good example of how @OntotextGraphDB is used for a prototype solution for #dataintegrity checks w/n the #buildingautomation industry. Thanks @mariahusmann for the prompt! hubs.la/Q01jqF7R0 #dataplausibility #semanticmodeling #digitaltwins

Paper veröffentlicht: Zum aktuellen Stand und zur zukünftigen Ausrichtung des #semanticmodeling wurde das Paper von Alexander Paulus, @_A_Burgdorf @andrepomp und @TobiasMeisen @TMDTWuppertal @Uni_Wuppertal auf @IEEEXplore veröffentlicht ➡️ieeexplore.ieee.org/stamp/st…

Two new books for my growing collection! 🤓 #linkeddata #rdf #knowledgemanagement #semanticmodeling #semanticweb #taxonomies #ontologies

My current set of topic maps in Contextualise #contextualise #knowledgemanagement #semanticmodeling #km #knowledgegraph #structuredthought #thinking

You miss our spotlight talk on #SemanticModeling and #GraphNeuralNetworks? Don't worry! Take a look at logicalreasoninggnn.github.i…. A special thanks to Le Song, @tangjianpku @jure @lrjconan @liyuajia @FidlerSanja @Richard @rsalakhu for organizing this #ICML2020 workshop!

Check out our latest work on #GraphNeuralNetworks and #SemanticModeling that has been accepted as a spotlight paper at the #ICML2020 conference: logicalreasoninggnn.github.i… cc @giuseppe_futia @phisaz @demartin

added rdf2tarql script to #rdfpuml #semanticModeling tool rawgit2.com/VladimirAlexiev/…. #TARQL is high-speed streaming convertor from CSV to RDF, used it on huge files (over 10M rows, 145 columns) using complex queries (480 lines: 110 prefixes, 33 nodes, 250 triples, 110 binds).

Our colleagues published a paper presenting #Ontotext research related to CIMA project, which uses #machinelearning, #semanticmodeling, #dataintegration, logical inference & validation to make company data better integrated, interlinked & easier to use. hubs.ly/H0ns2Ph0

@giuseppe_futia sul palco ora del #databeersTorino per parlarci delle tecniche di #SemanticModeling

Some shots from the DAUIN PhD Poster Day 2019 #knowledgegraphs #semanticmodeling #semantics #dataintegration #graphneuralnetworks cc @nexacenter @DAUINatPoliTO