Senior Data Architect Position

2 days ago

Surat, Gujarat, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878

Job Description:

We are seeking a highly skilled Data Architect to design and implement data models, ontologies, and knowledge graphs that meet the evolving needs of our business.

The ideal candidate will have a strong understanding of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. They will be responsible for collaborating with cross-functional teams to capture and formalize domain knowledge into structured ontologies.

  • Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business needs and industry standards.
  • Collaborate with domain experts to capture and formalize domain knowledge into structured ontologies.
  • Develop and maintain comprehensive ontologies to represent business entities, relationships, and processes.

Data Modeling:

  • Design semantic and syntactic data models adhering to ontological principles.
  • Create scalable, flexible, and adaptable data models that meet evolving business requirements.
  • Integrate data models with existing data infrastructures and applications.

Knowledge Graph Implementation:

  • Design and build knowledge graphs leveraging ontologies and data models.
  • Develop algorithms and tools for knowledge graph population, enrichment, and ongoing maintenance.
  • Utilize knowledge graphs for advanced analytics, search, and recommendation systems.

Qualifications and Skills:

Education:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Experience:

  • 5+ years in data engineering or related roles.
  • Proven experience with ontology development using BFO, CCO, or similar frameworks.
  • Strong knowledge of semantic web technologies: RDF, OWL, SPARQL, SHACL.
  • Proficiency in Python, SQL, and other relevant programming languages.

Desired Skills:

  • Familiarity with machine learning and natural language processing (NLP) techniques.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of Databricks technologies: Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, Photon.

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