Data Engineering Manager

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

Requirements:

• 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