Sr. Engineer - Platform Data Engineer; Remote

USA - Remote

Full time

R30175

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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. Crowd Strikers 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 Crowd Strikers 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.

We're seeking an experienced Sr. Platform Data Engineer to architect, deploy, and operate the core data infrastructure and platform services underpinning Crowd Strike's analytics ecosystem. This role sits at the intersection of infrastructure and data engineering, owning the reliability, scalability, and performance of our data platform.

• Deploy, configure, and administer core platform tooling including Airflow, and Superset in production environments

• Manage infrastructure-as-code (IaC) for data platform components using Terraform

• Build and maintain CI/CD pipelines for platform services and data workflow deployments

• Implement and enforce platform security, access controls, and compliance standards

• Develop and maintain data models using DBT and catalog assets within Open Metadata

• Write efficient Python code for platform automation and data processing

• Mentor junior engineers and provide technical leadership

• Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status).

• Bachelor's degree in Computer Science or related field

• 8+ years of combined infrastructure and data engineering experience

• Advanced Python programming (5+ years)

• Expert knowledge of Apache Airflow deployment and administration

• Strong experience deploying and managing Apache Superset or similar BI platforms

• Cloud platform expertise across AWS, GCP, Azure, or OCI including IAM, networking, and managed services

• Infrastructure-as-Code proficiency

• Container orchestration experience with Kubernetes and/or Docker in production

• Knowledge and experience with DBT and Open Metadata

• SQL and data modeling expertise

• Experience with data security and compliance requirements

• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

• Master's degree in relevant field

• Experience with cybersecurity data

• Contributions to open-source projects

• Knowledge of machine learning pipelines

#LI-LY1

#LI-Remote

This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.

• Market leader in compensation and equity awards

• Comprehensive physical and mental wellness programs

• Competitive vacation and holidays for recharge

• Paid parental and adoption leaves

• Professio…