Sr. Manager, Data Engineering (Remote)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

• Lead, mentor, and develop a global team of data engineers, fostering collaboration across time zones and driving operational excellence.
• Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake.
• Design and implement real-time and batch ingestion frameworks integrating data from various business systems and APIs.
• Partner closely with analytics and BI teams to define, curate, and deliver business metrics, KPIs, and standardized data models.
• Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday, and other core business applications.
• Collaborate with data science and product teams to support AI assistance bot integration, AI/ML workflows, and product telemetry analytics.
• Ensure engineering excellence by aligning data practices with DevOps principles, CI/CD automation, and robust data governance standards.
• Oversee multiple projects simultaneously, managing priorities, resources, and delivery timelines in a dynamic, high-velocity environment.
• Communicate effectively with business and technical stakeholders to align data engineering initiatives with strategic organizational goals.

• 8+ years of experience in data engineering, with at least 3+ years in a people management or leadership role.
• Demonstrated success leading and managing global, distributed teams across multiple time zones.
• Proven expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake.
• Deep experience in API-based data ingestion, real-time streaming, and data pipeline orchestration at scale.
• Hands-on experience with data integration from SFDC, NetSuite, Workday, and similar business platforms.
• Strong background in partnering with analytics and BI teams to curate and deliver business metrics and actionable insights.
• Exposure to AI assistance bot integrations, data science workflows, and ML data pipelines.
• Understanding of SaaS product telemetry, metadata management, and data governance principles.
• Experience applying DevOps and CI/CD practices to data engineering environments.
• Excellent communication, leadership, and stakeholder management skills.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.

• Experience working for a SaaS security company and building business metrics is preferred

• Remote-friendly and flexible work culture
• 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
• Great Place to Work Certified™ across the globe