layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Sr. Manager, Engineering - Semantic Data Modeling Framework (Hybrid) at CrowdStrike | LAYIQ

Lead and grow a high-performing engineering team responsible for designing, building, and maintaining CrowdStrike's ontology-based semantic data modeling framework
Define and own the end-to-end architecture for semantic modeling capabilities, including ontology design, schema management, validation, versioning, and integration with downstream data systems
Drive the development of scalable, production-grade tooling and services that enable teams to define, discover, extend, and govern semantic data models across CrowdStrike's data ecosystem
Establish engineering best practices around ontology governance, model lifecycle management, data quality, interoperability, and extensibility
Partner with Data Platform architecture leadership to ensure alignment with cloud-native infrastructure, graph databases, streaming systems, and data lake/lakehouse architectures
Evaluate and integrate emerging technologies and standards with a pragmatic, value-driven approach
Define and execute a roadmap that drives measurable adoption of the semantic data modeling framework across CrowdStrike engineering
Serve as the primary advocate and trusted advisor for ontology-based data modeling across the organization by translating complex semantic concepts into clear value propositions for assorted technical and non-technical audiences
Build deep, consultative relationships with internal customer teams to understand their data modeling challenges, identify high-value use cases, and co-develop solutions that demonstrate framework value
Develop enablement programs including documentation, training, workshops, office hours, and reference implementations that lower the barrier to adoption
Create and communicate success metrics, adoption dashboards, and impact narratives to senior leadership
Proactively identify friction points in the developer experience and prioritize improvements that accelerate time-to-value for adopting teams
Define and communicate a clear multi-quarter vision and roadmap for the ontology framework, balancing platform innovation with customer-driven priorities
Partner with product management, data engineering, threat graph, detection engineering, and AI/ML teams to identify high-leverage integration opportunities
Maintain awareness of industry developments in ontology engineering, semantic technology, knowledge graphs, data mesh/data products, and AI-ready data architectures
Translate CrowdStrike's cybersecurity domain complexity into well-structured, reusable, and extensible ontological models that improve data consistency, discoverability, and analytical power
Build, lead, mentor, and develop an international team of engineers and ontology/data modeling specialists
Foster a team culture of technical rigor, customer empathy, collaboration, and continuous improvement
Attract and retain top talent through compelling vision, strong engineering culture, and meaningful career development
Set clear goals, provide regular feedback, and create accountability aligned with both technical delivery and adoption outcomes

Benefits of Working at CrowdStrike:

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
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Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here .

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

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