Senior Knowledge Graph Engineer: Data Pipelines & KG

BNY; Pittsburgh (Allegheny County); Presencial; USD 180 000 - 250 000; Tempo integral

Resumo da oferta

BNY is seeking a Knowledge Graph Engineer to design and build data pipelines and graph-enabled structures powering the IDS and enterprise knowledge graph. You will collaborate with Ontology and Knowledge Architecture leads and cross-functional teams to deliver scalable, production-ready solutions aligned with data transformation strategy.

Ideal candidates have extensive experience in data engineering (Python, Spark, SQL) and expertise in RDF/OWL/SPARQL, graph data models, and modern platforms

Qualificações

• Bachelor's degree in a related discipline or equivalent work experience.
• Typically 8-12 years of experience, with at least 4 years focused on data analysis and BI.

Responsabilidades

• Partner with Ontology and Knowledge Architecture to perform entity resolution and map source data to IDS entities, relationships, and attributes.
• Design and build scalable pipelines to ingest data from internal platforms and external vendors across batch, streaming, and near-real-time patterns.
• Transform diverse data formats into clean, standardized datasets aligned to IDS entity models.
• Develop reusable frameworks to normalize identifiers, units, hierarchies, and event data such as corporate actions and transactions.
• Implement robust data quality controls including lineage and traceability from source systems through IDS to downstream products.
• Collaborate across platform, product, and data teams to translate requirements into production-ready solutions and APIs.

Descrição da oferta de emprego

BNY is seeking a Knowledge Graph Engineer to design and build data pipelines and graph-enabled structures powering the IDS and enterprise knowledge graph. You will collaborate with Ontology and Knowledge Architecture leads and cross-functional teams to deliver scalable, production-ready solutions aligned with data transformation strategy.

Ideal candidates have extensive experience in data engineering (Python, Spark, SQL) and expertise in RDF/OWL/SPARQL, graph data models, and modern platforms