Senior Knowledge Graph Engineer

BNY Mellon

Pittsburgh (Allegheny County)

Hybrid

USD 140,000 - 210,000

Full time

12 days ago
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Job summary

BNY Mellon seeks a Knowledge Graph Engineer to design and build data pipelines and graph-enabled structures powering the Investment Data Standard (IDS) and enterprise knowledge graph. You will collaborate with the Ontology and Knowledge Architecture lead across platform, product, and data teams to deliver scalable, production-ready solutions that enable analytics, AI, and client platforms.

The role involves transforming diverse data formats, implementing data quality controls, and supporting

Qualifications

  • Bachelor's degree in a related discipline or equivalent work experience.
  • 8–12 years of experience with at least 4 years focused on data analysis and business intelligence.

Responsibilities

  • Partner with Ontology and Knowledge Architecture to perform entity resolution and map data to IDS entities.
  • Design and build scalable pipelines to ingest and process data from internal platforms and external vendors.
  • Transform diverse data formats into clean, standardized datasets aligned to IDS models.
  • Develop frameworks to normalize identifiers, units, hierarchies, and event data.
  • Implement data quality controls including lineage and provenance from source to IDS downstream products.
  • Support multi-vendor data ingestion, comparison, and reconciliation with analytics.
  • Build modular, cloud-native pipelines optimized for scalability and cost efficiency.
  • Collaborate to translate business and data requirements into production-ready solutions.

Skills

RDF/OWL/SHACL
SPARQL
LPG/Cypher/GQL
Python
Data pipelines
Data modeling
ETL/ELT
SQL
Data quality

Education

Bachelor's degree
Advanced degree preferred

Tools

Snowflake
AWS
Databricks

Job description

BNY Mellon seeks a Knowledge Graph Engineer to design and build data pipelines and graph-enabled structures powering the Investment Data Standard (IDS) and enterprise knowledge graph. You will collaborate with the Ontology and Knowledge Architecture lead across platform, product, and data teams to deliver scalable, production-ready solutions that enable analytics, AI, and client platforms.

The role involves transforming diverse data formats, implementing data quality controls, and supporting

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