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CONVOTIS
CONVOTIS
501 – 1.000 Angajați
B2BSaaS
CONVOTIS este un partener strategic global în domeniul IT, care ajută companiile să își modernizeze operațiunile și să își îmbunătățească eficiența. Serviciile sale includ Business IT, Platform IT și Managed IT, acoperind aplicații de business, soluții pentru platforme digitale și gestionarea de la un capăt la altul a infrastructurii IT. Cu aproximativ 1.000 de angajați în 23 de locații din nouă țări, CONVOTIS sprijină organizațiile B2B și SaaS prin parteneriate flexibile și pe termen lung, precum și prin asistență IT disponibilă 24/7.
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Data Architect – Graph and Semantic Modeling | CONVOTIS, Spain Hybrid

Design graph models, ontologies, and semantic integrations for CONVOTIS Iberia’s enterprise technology solutions. Shape cloud architectures and AI-ready knowledge graphs from domain modeling through production delivery.

ESSpaniaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: spaniolăInginer de date
ApacheAWSAzureCloudERPInformaticaNeo4j

Descriere

  • Create and deliver graph data models covering property graphs, RDF/OWL ontologies, and knowledge graph schemas
  • Integrate varied enterprise sources such as ERP, CRM, operational platforms, data warehouses, and data lakes into semantic architectures
  • Evaluate and deploy graph technologies including Neo4j, Amazon Neptune, Azure Cosmos DB, Stardog, and AllegroGraph
  • Establish ontology governance covering version control, namespace administration, and SHACL-based constraint validation
  • Partner with data engineering teams on ingestion, transformation, and graph-loading workflows
  • Guide semantic-layer architecture for analytics and AI applications, including entity resolution, semantic search, and graph-enhanced retrieval
  • Support pre-sales activities through architecture workshops, technical proposals, and proof-of-concept development
  • Record architecture decisions, data models, and semantic relationships clearly
  • Direct technical architecture across delivery engagements from domain modeling to production rollout

Cerințe

  • Bring 5–8 years of experience in data architecture, with a focus on graph modeling and/or ontology engineering
  • Demonstrate strong command of SPARQL and/or Gremlin or Cypher
  • Have hands-on experience with at least two graph database platforms spanning RDF triple stores and property graphs
  • Understand ontology design concepts such as class hierarchies, property axioms, inference, and modularity
  • Experience connecting graph layers with enterprise metadata and governance platforms such as Collibra, Informatica, Apache Atlas, or Alation
  • Apply cloud data architecture expertise across AWS and/or Azure storage, processing, and orchestration services
  • Translate complex business domains into formal, reusable ontologies
  • Communicate complex technical subjects clearly with engineering teams and business stakeholders
  • Experience with domain ontologies such as FIBO, CIM, GS1, or SNOMED is preferred
  • Exposure to generative AI integration patterns is preferred
  • Familiarity with agentic AI architectures is preferred
  • Knowledge of linked data concepts and semantic web standards is preferred
  • Certifications in graph platforms, AWS, or Azure are valued

Beneficii

  • Flexible working schedules
  • Choice of office-based or home working
  • Medical insurance
  • Flexible compensation options
  • Internal company events
  • Outdoor activities
  • Leisure days
  • Padel matches
  • Vacation when needed
  • Training opportunities
  • English-language classes
  • Professional certification support
  • Office coffee, sweets, and foosball

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