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Sr. Manager, Engineering - Semantic Data Modeling Framework (Hybrid)

USA - New York, NY💼 Full-time🗓 2026-07-28 → 2026-09-26

Core

Lead the development, evolution, and enterprise-wide adoption of an ontology-based semantic data modeling framework to enable consistent, interoperable data representations across CrowdStrike's product portfolio and customer data.

Role type

Senior Engineering Manager (Platform/Framework)

Builds

Scalable production-grade tooling, services, and governance frameworks for semantic data modeling and ontology management.

Domain

Cybersecurity data infrastructure, semantic web technologies, knowledge graphs, and cloud-native data ecosystems.

Deliverable

production ML models | product features | infrastructure

Required skills

Engineering management (6+ engineers), ontology design, semantic modeling, knowledge graphs, schema management, cloud-native distributed systems, developer tooling adoption, roadmap planning, stakeholder partnership.

Preferred skills

AI/ML integration, data mesh concepts, graph database expertise, enablement program design.

Technologies

Neo4j, Neptune, JanusGraph, RDF, OWL, SHACL, SPARQL, Kafka, Spark, Flink, data lake/lakehouse.

Responsibilities

Define end-to-end architecture for semantic modeling capabilities; drive development of scalable tooling and services; establish engineering best practices for ontology governance and lifecycle management; partner with architecture leadership on cloud-native infrastructure; execute a roadmap for framework adoption; build consultative relationships with internal teams to identify use cases; create enablement programs (documentation, training, workshops); communicate success metrics and impact narratives; mentor and develop an international team of engineers and specialists.

Seniority

Senior, hands-on IC with management responsibilities

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