Data Engineering Manager (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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. 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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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:CrowdStrike is seeking an experienced Data Engineering Manager to join the Finance Data and Analytics team. This role will be reporting directly to the Senior Manager, Data Engineering. The Manager will play a critical role in overseeing finance data sources and frameworks, ensuring the scalability and reliability of our data platform. The ideal candidate brings deep technical expertise, and a proven ability to thrive in a high-growth, fast-paced SaaS environment.What You'll Do:Design, build, and manage reliable data ingestion and transformation pipelines using Airflow, dbt, Python, Matillion, and Snowflake.Develop and Manage automation frameworks for key Finance metrics like ACV/ARR and sup