Data Modeling Engineer

Kunai is a fast-growing digital consultancy focused on banking, payments, and fintech powered by a global network that attracts the best and brightest people from all backgrounds and cultures, driven by innovation and experimentation, spread across almost every single continent. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes. Our founders built a previous agency (Monsoon) that was acquired by Capital One in 2015.

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

At Kunai, we have built deep relationships with our clients. Our bar is high, and our mission is to always exceed our client’s expectations. If you are fanatical about customer success and driven to work on and solve tough technical challenges, we would love to chat with you!