Senior Manager of Engineering (Data Security)

Join Netskope, a leader in data security. As a Senior Engineering Manager, you will lead the Data Lineage team, driving innovation and product vision. You will define the roadmap, set the architectural direction, and mentor a high-performing team. This role requires a passion for engineering and a commitment to operational excellence.

• Lead the Data Lineage team in architecting a high-performance platform for tracing data movement and transformation.
• Collaborate with Product Managers to co-own the product vision and roadmap, prioritizing the backlog for new feature development and performance improvements.
• Set the architectural vision for a high-throughput, multi-tenant platform, guiding the team's approach to streaming ingestion and distributed database optimization.
• Bonus Points: Deep experience with the end-to-end data lineage lifecycle, including telemetry collection, event unification, schema standardization, cryptographic fingerprinting, heuristic-based correlation, and graph-based modeling
• Engineering Leadership: 10+ years of software engineering experience, including 3+ years leading engineering teams. Proven track record in hiring, performance management, and driving technical roadmaps
• Bias for action: Experience operating in ambiguous environments, shaping roadmaps when requirements are incomplete, and navigating evolving problem spaces
• Operational Excellence: Proven track record in fostering a culture of operational rigor. Experience defining reliability strategies and establishing meaningful SLOs
• System Architecture: Expertise in designing resilient, scalable architectures that mitigate common production failure modes. Proficient in implementing robust design patterns like backpressure and circuit breaking to ensure reliability, with the technical depth to influence critical design decisions
• Database Architecture: Demonstrated experience guiding teams through database-heavy platform design. Expertise in evaluating PostgreSQL (or equivalent) trade-offs, ensuring sound decisions regarding data modeling, sharding, and performance optimization for large-scale datasets
• Distributed Systems: Demonstrated experience owning and scaling high-throughput, distributed streaming systems (e.g., Kafka) in production environments
• Product leadership: Track record of collaborating with product managers to define scope, prioritize backlogs, and ship customer-facing outcomes
• Strategic communication: Ability to bridge engineering, product, and leadership audiences, translating complex technical trade-offs into decision-ready recommendations
• Graph Modeling: Experience providing architectural oversight for complex, relationship-heavy data systems. Skilled in coaching teams on modeling trade-offs and graph traversal strategies aligned with product performance and scalability
• Education: BSCS or equivalent required; MSCS or equivalent strongly preferred