Note: The job is a remote job and is open to candidates in USA. Dragos, Inc. is a global leader in xOT cybersecurity, dedicated to protecting critical infrastructure systems. The Data Engineering Manager will lead a team responsible for the core data layer of products, driving modernization efforts and ensuring high-quality data for threat detection and analysis.
Responsibilities
- Lead and mentor a team of data engineers, driving their technical growth and professional development
- Drive hiring and team growth to scale with roadmap demands
- Own the technical strategy and roadmap for the data platform, driving modernization initiatives that improve performance, scalability, and resource efficiency
- Collaborate with product and engineering teams to define data models, schemas, and analytics architecture across the teams this role influences
- Partner with detection engineering and other security stakeholders to ensure data quality, freshness, and reliability for threat-detection and analysis workflows
- Establish and drive engineering best practices, coding standards, and performance optimization strategies for data pipelines and storage systems
- Champion the adoption of AI-assisted development tools and workflows across the team to accelerate delivery and improve code quality
- Provide guidance during software design, development, testing, and release
- Ensure timely delivery of projects, balancing technical debt and innovation
- Own production support for fielded deployments, including incident response and on-call coverage for the data platform
- Foster a strong technical community by developing close relationships amongst Engineering Managers
- Stay current with emerging data technologies, frameworks, and best practices to drive continuous improvement
Skills
- 7+ years of engineering management experience, consistently building and leading highly effective teams
- Management experience with Agile and working in cross-functional Product Teams
- Cybersecurity or SOC (Security Operations Center) experience required with knowledge of threat detection, threat intelligence, vulnerability/asset intelligence, or ICS/OT security, given this role's direct influence on teams supporting those domains
- Strong technical background in distributed data systems
- Prior experience as an engineer with strong working knowledge of technologies such as the Elastic Stack, Airflow, Docker, Kubernetes, PostgreSQL, ClickHouse, and dbt
- Heavy hands-on familiarity with AI-assisted development tools and workflows (e.g., LLM-based coding assistants, AI-driven data tooling), with a track record of driving adoption across a team
- Comfortable with hands-on development or troubleshooting
- Excellent communication, leadership, and presentation skills
- Rust experience strongly preferred
Benefits
- Competitive Equity Package
- Comprehensive Benefits Plan
Company Overview