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

Hiring organization: [CrowdStrike](https://career.thegoodapps.co/organizations/crowdstrike)

Canonical page: https://career.thegoodapps.co/jobs/6460479b-14b0-484c-92ed-113f030be662

Listed on CrowdStrike's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 160000 – 250000 USD per year

## Summary

CrowdStrike is seeking an engineering manager to lead development of an ontology-based semantic data modeling framework that standardizes how data flows across their cybersecurity platform. This role combines deep technical leadership with cross-organizational influence to drive adoption of a complex infrastructure system serving data teams, product engineers, and AI/ML specialists.

_Our summary, not CrowdStrike's wording._

## Skills named

Apache Flink, Apache Kafka, Data Modeling, Graph Databases, Neo4j, Neptune.ai, SPARK

## Required

- 10+ years progressive software engineering experience
- 4+ years engineering management leading teams of 6+ engineers
- Expertise in data modeling, ontology design, semantic modeling, knowledge graphs, or domain-driven data architecture
- Experience building and shipping platforms or frameworks requiring adoption across an organization
- Understanding of graph databases, RDF/OWL/SHACL/SPARQL, schema registries, metadata platforms, or semantic layers
- Experience with modern cloud-native data ecosystems
- Strong design and problem-solving skills with passion for engineering excellence and security
- Ability to influence and partner across organizational boundaries
- Excellent communication skills for technical and non-technical audiences

## Nice to have

- Experience utilizing AI technologies to enhance decision-making and workflows
- Familiarity with data mesh, data products, and AI-ready data architectures

Apply on CrowdStrike's site: https://crowdstrike.wd5.myworkdayjobs.com/en-US/crowdstrikecareers/job/USA---New-York-NY/Sr-Manager--Engineering---Semantic-Data-Modeling-Framework--Hybrid-_R29507