Sr. Data Pipeline Engineer (Remote)
About The Position
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: 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.
Requirements
- 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.
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Nice To Haves
- Experience working for a SaaS security company and building business metrics is preferred
Responsibilities
- 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.
Benefits
- 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 office culture with world class amenities
- Great Place to Work Certified™ across the globe
- health insurance
- 401k
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
