✦ Luna Orbit — AI & Machine Learning

Ontologist II - AMZ20452.4

at Amazon.com

📍 US, CA, Santa Barbara Unknown 💰 $82K – $144K USD / year Posted April 03, 2026
Salary $82K – $144K USD / year
Type Full-Time
Experience senior
Exp. Years 3+ years total (2 years progressive + 1 year in required areas)
Education Bachelor's degree in quantitative or analytical field
Category AI & Machine Learning

Senior Ontologist role focused on building and maintaining scalable ETL pipelines and ontology-driven knowledge graphs for Amazon's Knowledge Graph initiatives. Responsibilities span data modeling, mapping to ontological constructs, and enabling semantic grounding across graph systems.

  • Build and maintain scalable ETL data pipelines
  • Design ontology structures for knowledge domains
  • Enable semantic grounding on Knowledge Graph systems
  • Record and review Knowledge Graph projects with documentation
  • Investigate data gaps and propose solutions

Stack centers on ETL tools (Pentaho, AWS Glue), programming (Javascript, SQL, SparkSQL, Python), knowledge-graph tooling (Graphiq, Neptune), and ontology automation (ROCK). Includes JSON/Jinja templating, Cypher queries, and dashboarding with Redash/MESA.

The ideal candidate is a senior data/knowledge-graph professional with hands-on experience designing ontologies and scalable ETL/data-pipeline solutions, strong AWS data tooling, and the ability to map data to ontological constructs. They excel at cross-team collaboration, documentation, and maintaining knowledge-graph assets at scale.

experience building and updating data modelsability to design solutions where domain model may be undefinedexperience analyzing large datasetsexperience collaborating with partner teams and stakeholdersexperience presenting production-feasible solutionsexperience driving operational excellence and process improvementsexperience pushing code and participating in design reviewsexperience training new teammates
Knowledge of ontology tooling (ROCK)Experience with Graph knowledge graphsExperience with Change Requests (CRs)Experience monitoring and alerting for data pipelinesExperience using Redash or similar dashboardsExperience with MESA metrics tables
Pentaho Data IntegrationAmazon Knowledge Graph Data LakeAWS GlueGraphiq ImportsNeptune GraphsCypherRedashMESAJinja templatesJSONData Lake S3 Crawler
ETLPentaho Data IntegrationAWS GlueJavascriptSQLSparkSQLPythonGraphiq ImportsData Lake S3 CrawlerLLMsLarge Language ModelsCedric PersonasLLM Batch InferenceROCKRapid Ontology Creation for KEsJSONJinja templatesCypherNeptune GraphsRedashMESA
ETLPentaho Data IntegrationAmazon Business Data Technologies CradleAWS GlueJavascriptSQLSparkSQLPythonGraphiq ImportsData Lake S3 CrawlerLLMsLarge Language ModelsCedric PersonasLLM Batch InferenceROCKRapid Ontology Creation for KEsJSONJinja templatesmetadataforeign keysexternal keysdata typesCypherNeptune GraphsWikidataIMDbRedashMESAMetric ExtractionStorageand Access
communicationcollaborationdocumentationtrainingon-call rotationstakeholder collaboration
Industry SaaS
Job Function Design and implement ontology-driven data pipelines and knowledge-graph solutions
Role Subtype knowledge graph ontologist
Tech Domains Pentaho Data Integration, Amazon Web Services, Graph database, Cypher, JSON, Jinja templates, SQL / PostgreSQL, Python, JavaScript, Data Lake
Ontologist IIknowledge graphETLPentaho Data IntegrationAmazon Business Data Technologies CradleAWS GlueGraphiq ImportsData Lake S3 CrawlerJavascriptSQLSparkSQLPythonGraphiq CollectionsKnowledge PanelsNeptune GraphsCypherWikidataIMDbROCKRapid Ontology Creation for KEsLLMsCedric PersonasLLM Batch InferenceJSONJinja templatesCRsontology codebaseRedashMESAMetric ExtractionStorageand AccessontologyGraph database

Bachelor's degree in quantitative or analytical field (required), 3+ years total experience building/updating data models, 7+ years experience in enterprise data/analytics environments, Experience with ontology/knowledge-graph design

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