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

About The Role

What You'll Do

• Lead and grow a high-performing engineering team responsible for designing, building
• 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
• integration with downstream data systems Drive the development of scalable, production-grade tooling and services that enable teams to define, discover, extend
• govern semantic data models across CrowdStrike's data ecosystem Establish engineering best practices around ontology governance, model lifecycle management, data quality, interoperability
• extensibility Partner with Data Platform architecture leadership to ensure alignment with cloud-native infrastructure, graph databases, streaming systems
• 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
• co-develop solutions that demonstrate framework value Develop enablement programs including documentation, training, workshops, office hours
• reference implementations that lower the barrier to adoption Create and communicate success metrics, adoption dashboards
• 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
• 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
• AI-ready data architectures Translate CrowdStrike's cybersecurity domain complexity into well-structured, reusable
• extensible ontological models that improve data consistency, discoverability
• analytical power Build, lead, mentor
• develop an international team of engineers and ontology/data modeling specialists Foster a team culture of technical rigor, customer empathy, collaboration
• continuous improvement Attract and retain top talent through compelling vision, strong engineering culture
• meaningful career development Set clear goals, provide regular feedback
• create accountability aligned with both technical delivery and adoption outcomes What You'll Need: 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
• domain-driven data architecture Demonstrated experience building and shipping platforms, frameworks
• 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
• 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
• performance Proven ability to influence and partner across organizational boundaries.
• Building trust, articulating value
• 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
• senior executives Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. #LI-MP2 #LI-SF1 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
• 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
• any other characteristic protected by law.
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• 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 .