Data Platform Engineer
Core
Architect and implement entity resolution logic, design global business knowledge graphs, and build scalable data platforms for real-time risk assessment and ownership chain management.
Role type
Senior Data Platform Engineer (Graph & Data Infrastructure)
Builds
Global business knowledge graphs, hybrid graph/document storage, scalable APIs, and batch/streaming data pipelines.
Domain
Financial Services / Risk Management / Data Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Graph database engineering, entity resolution, API design, data pipeline development, cloud infrastructure, software engineering, observability, CI/CD.
Preferred skills
Machine learning platform experience, AML/CTF/KYC/KYB knowledge, LEI/ISO 20022 familiarity, geospatial indexing.
Technologies
Neo4j, AWS Neptune, TigerGraph, Cypher, Gremlin, Senzing, Quantexa, GraphQL, REST, Python, Java, Go, Rust, Spark, Flink, Kafka, Kinesis, Airflow, Snowflake, Redshift, BigQuery, Databricks, Docker, Kubernetes, Terraform.
Responsibilities
Design and maintain global business knowledge graphs and ontologies; build hybrid graph and document storage strategies; optimize graph traversal for real-time risk assessment; develop batch and streaming data pipelines; own platform reliability and monitoring; implement data modeling and governance practices.
Seniority
Senior, hands-on IC
