Sr. Knowledge Engineer (remote, Europe)

CrowdStrike CrowdStrike · Enterprise · Spain, Israel · Remote

This role focuses on building a system that treats global infrastructure as a formal graph, connecting to various APIs, parsing and normalizing data, and mapping it into a canonical graph model. It involves designing data ingestion and semantic transformation pipelines, architecting a knowledge construction engine with code generators and entity resolution, and contributing to a multi-backend graph architecture. The goal is to create a high-integrity infrastructure fabric that proves risks through a deterministic digital twin of the enterprise.

What you'd actually do

  1. You will be the primary builder of our data ingestion and semantic transformation pipelines. You will design and implement the core framework and specific connectors to parse API schemas and transform raw data into our canonical model.
  2. You will implement the systems that turn data into knowledge. This includes building the code generators that compile our team's high level mapping configurations into low level artifacts, and developing the software for our entity resolution engine to fuse disparate data into unified conceptual entities.
  3. You will contribute to a multi-backend graph architecture optimized for both real time temporal state and deep multihop path analysis.
  4. Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams.
  5. Guide a diverse team of engineers, taxonomists, and subject matter experts in distilling vendor specific noise into a unified topography of risk.

Skills

Required

  • architecting large scale distributed systems where data integrity and performance are paramount
  • formal logic, relational algebra, and graph theory applied to practical, high performance systems engineering
  • data transformation, schema parsing, and working with complex, nested data structures form heterogeneous APIs
  • Proficiency in modern systems languages (e.g. Go, Rust)
  • Exceptional leadership skills
  • Minimum of 5 years relevant work experience
  • Superior communication skills including experience presenting to senior & executive level management
  • Excellent people and project management skills

Nice to have

  • Experience building declarative, configuration driven systems or code generators.
  • A track record of designing abstractions that allow non specialists to model complex topological relationships.
  • A background in data engineering for cybersecurity or large scale infrastructure.
  • Experience evolving data systems towards a modern, model driven architecture.

What the JD emphasized

  • primary builder
  • design and implement the core framework
  • implement the systems
  • building the code generators
  • developing the software
  • contribute to a multi-backend graph architecture
  • Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams.
  • Guide a diverse team of engineers, taxonomists, and subject matter experts