Sr. Data Pipeline Engineer - Crowdstrike

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:

We are seeking an experienced Sr., Data Pipeline Engineer to be part of a global team of data engineers responsible for building, scaling, and optimizing modern data ingestion and processing pipelines. This position will play a critical role in integrating a variety of data sources, enabling analytics and AI-driven insights, and ensuring the scalability and reliability of our enterprise data platform.

The ideal candidate will bring deep technical expertise, strong people leadership across global teams, and a proven ability to operate in a high-growth, fast-paced SaaS environment.

What You'll Do:

Collaborate with a global team of data engineers, fostering coordination 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.

Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday, and other core business applications.

Drive data quality, observability and reliability across pipelines through monitoring, alerting, and proactive issue resolution.

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, 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.

What You'll Need:

12+ years of experience in designing and building scalable Data Pipelines..

Demonstrated success working with distributed analytics and