CONVOTIS
CONVOTIS
501 – 1000 Darbinieki
B2BSaaS
CONVOTIS ir globāls stratēģiskais IT partneris, kas palīdz uzņēmumiem modernizēt darbību un uzlabot efektivitāti. Uzņēmuma pakalpojumi ietver Business IT, Platform IT un Managed IT, aptverot biznesa lietojumprogrammas, digitālo platformu risinājumus un visaptverošu IT infrastruktūras pārvaldību. Aptuveni 1 000 darbinieku strādā 23 atrašanās vietās deviņās valstīs. CONVOTIS atbalsta B2B un SaaS organizācijas, nodrošinot elastīgas ilgtermiņa partnerības un IT atbalstu visu diennakti.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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