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

About the role

CrowdStrike's Data Platform team is expanding on the foundational infrastructure that powers the world's most advanced cybersecurity platform. We are seeking a Sr. Engineering Manager to lead the team responsible for the development, evolution, and enterprise-wide adoption of our ontology-based semantic data modeling framework. This is a critical system that enables consistent, interoperable, and intelligence-rich data representations across CrowdStrike's product portfolio, 3rd party and customer data modeling.

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
• 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
• Arrive at 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

Qualifications

Qualifications may vary based on the specific role and location. Please refer to the full job description for details.

Skills

Skills may vary based on the specific role and location. Please refer to the full job description for details.

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

Pay

$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.

Schedule

Full-time