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About the Role

CrowdStrike's Data Platform team is seeking a Sr. Engineering Manager to lead the development, evolution, and adoption of its ontology-based semantic data modeling framework. This critical system ensures consistent, interoperable, and intelligence-rich data representations across CrowdStrike's product portfolio and customer data. The role requires deep technical leadership, the ability to build excitement, drive adoption, and foster strong partnerships with internal teams and stakeholders to make semantic modeling a practical, scalable, and widely adopted capability.

Responsibilities

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.

Requirements

10+ years of progressive software engineering experience, with 4+ years in engineering management leading teams of 6+ engineers.
Proven expertise in data modeling, ontology design, semantic modeling, knowledge graphs, or domain-driven data architecture.
Demonstrated experience building and shipping platforms, frameworks, or developer tools that required driving adoption across an engineering organization.
Strong understanding about technologies and standards such as: graph databases (e.g., Neo4j, Neptune, JanusGraph), RDF/OWL/SHACL/SPARQL, schema registries, metadata platforms, or semantic layers.
Experience with modern cloud-native data ecosystems (e.g., Kafka, Spark, Flink, data lake/lakehouse architectures, distributed systems).
Solid design and problem-solving skills, with a clear passion for engineering excellence, quality, security, and performance.
Proven ability to influence and partner across organizational boundaries. Building trust, articulating value, and driving alignment with teams you don't directly control.
Excellent communication skills with the ability to present complex technical concepts clearly to engineers, data scientists, product managers, and senior executives.
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Skills

Data modeling
Ontology design
Semantic modeling
Knowledge graphs
Domain-driven data architecture
Graph databases (e.g., Neo4j, Neptune, JanusGraph)
RDF/OWL/SHACL/SPARQL
Schema registries
Metadata platforms
Semantic layers
Cloud-native data ecosystems (e.g., Kafka, Spark, Flink, data lake/lakehouse architectures, distributed systems)
AI technologies

Location

Remote

Work Type

Full-time

Experience Level

Senior
Management

Salary/Compensations

$160,000 - $250,000 per year

Benefits

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
Eligibility for bonuses
Equity grants
Comprehensive benefits package that includes health insurance, 401k and paid time off

About the Company

Global leader in cybersecurity, protecting people, processes, and technologies.
Mission-driven company redefining modern security with an AI-native platform.
Processes almost 3 trillion events per day on large-scale distributed systems.
Customers span all industries, relying on CrowdStrike to keep businesses running and communities safe.
Leverages AI to transform the way work is done.
Fosters flexibility, autonomy, responsible AI adoption, experimentation, and innovation.
Uses an AI-first mindset as a force multiplier to accelerate execution, build expertise, uncover insights, and solve complex problems.
Seeks passionate, innovative, and customer-focused individuals.

Equal Opportunity

CrowdStrike is proud to be an equal opportunity employer.
Committed to fostering a culture of belonging where everyone is valued and empowered to succeed.
Supports veterans and individuals with disabilities through its affirmative action program.
Provides equal employment opportunity for all employees and applicants.
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.
Bases all employment decisions on valid job requirements.
Participates in the E-Verify program.