Senior Data Architect – Semantics & Knowledge Engineering

Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions ranging from sales systems and automation to data platforms and AI. It delivers end-to-end projects from analysis and architecture through implementation to development and maintenance, partnering with industry leaders including Salesforce, Veeva, UiPath, and Databricks.

• Bachelor's degree in computer science, information science, knowledge engineering, computational linguistics, or equivalent practical experience.
• Proficiency in designing and implementing conceptual, logical, and physical data models.
• Advanced knowledge of ontologies and taxonomies with proficiency in Semantic Web technologies and standards (RDF, OWL, SHACL, SPARQL, TopBraid EDG).
• Proficiency with graph databases, including triple stores, labeled-property graph systems, and virtual knowledge graph technologies like Ontop or Stardog.
• Extensive experience with API design patterns such as REST and GraphQL.
• Strong engineering background in data engineering, software engineering, or cloud engineering.
• Proficiency in at least one programming language; familiarity with Git version control.
• In-depth knowledge of FAIR Data Principles, Linked Data principles, and Data Mesh architecture with practical application.
• Strong analytical and communication skills with ability to collaborate effectively.

Nice to have:

• Experience with semantic layer concepts in modern data platforms such as Databricks, Snowflake, and Microsoft Fabric.
• Familiarity with information retrieval systems like Elasticsearch.
• Familiarity with Data Governance solutions such as Collibra.
• Experience designing and implementing Model Context Protocol (MCP) servers.
• Hands-on experience with GraphRAG solution design and implementation.
• Skills in knowledge retrieval from unstructured data sources.
• Understanding of data security principles and data privacy regulations (GDPR, CCPA).
• Foundational cloud engineering experience with AWS and Azure.
• Familiarity with CI/CD practices, e.g., GitHub Actions.
• Knowledge of the pharmaceutical domain including LOINC, SNOMED CT, omics, targets, assays, clinical studies, and RWE.

• Design and implement conceptual, logical, and physical data models and semantic layers across the organization.
• Design, build, and maintain ontologies, taxonomies, and knowledge graphs using triple stores, labeled-property graph technologies, and virtual knowledge graph approaches.
• Collaborate with domain experts, data scientists, and data engineers to elicit tacit knowledge and validate knowledge representations.
• Design data-oriented APIs and integration patterns for interoperability and consumption by humans, systems, and AI agents.
• Monitor emerging technologies in knowledge engineering, data integration, and semantic AI; participate in code reviews and engineering best practices.
• Drive cross-team alignment on data and knowledge architecture decisions aligning with business, digital, and IT strategy.
• Embrace FAIR and Linked Data principles to transform data use from siloed to networked and democratized.
• Design and implement measures to protect data confidentiality, integrity, and availability.

Zgodnie z art. 13 ust. 1 i 2 rozporządzenia Parlamentu Europejskiego i Rady (UE) 2016/679 z dnia 27 kwietnia 2016 r. (RODO) informacja o administratorze danych, celach, prawach związanych z przetwarzaniem danych osobowych oraz inne szczegóły związane z ochroną danych osobowych w procesie rekrutacji.