Data Modeling Engineer

We are partnering with a large-scale banking client to hire a Data Modeling Engineer to help drive work for a critical data product. 

The Role:

• Develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives.
• Analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.
• Maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.
• Test and troubleshoot new or updated models and systems
• Communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience.

Required Qualifications and Skills:

• Bachelor's Degree in Science, Engineering, Math, or a related field
• Experience in a metadata field of work
• Experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
• Experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data World)
• Experience or training with SQL or SPARQL