Senior Data Platform Engineer (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:

CrowdStrike is looking for a Data Platform Engineer to join our growing Data Science Platform Engineering Team. You will be responsible for helping to build globally distributed, fault-tolerant, and highly scalable ecosystems used by data scientists, analysts, and threat hungers. You will partner with many teams across the company to provide compelling, self-service, automated solutions for challenging and high value projects. 

CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

The scale of our systems and data are approaching Exabytes in size. Experience with extremely large-scale systems, including DevSecOps patterns, practices, and standards are important for this work.

What You'll Do:

• Innovate with data science platform technology to accelerate & democratize data science.

• Focus on scalability, and cost effectiveness.

• Implementing observability and provide in-depth analysis to prevent, detect, and zero-touch recover from service issues

• Model, normalize, factor, and catalog data and metadata semantically for discoverability and rapid, repeatable data set creation

• Employ and help evolve established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults.

• Design and maintain data pipelines, and contribute to the training and implementation of custom models.

• Collaborate across various teams to brainstorm, define, and devise solutions.

• Commit to ongoing learning and self-improvement.

• Emphasize top-tier, emerging coding quality by adhering to good practices, rigorous testing, and thorough DevSecOps Observability.

• Work within a collaborative …