Sr. Data Pipeline 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:

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 BI teams across multiple time zones.

• Proven expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake, including proficiency in advanced SQL for complex transformations, performance tuning.

• Deep experience in API & file-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.

• 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.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

Bonus Points:

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

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Benefits of Working at CrowdStrike:

• 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 off