Sr. Data Pipeline Engineer (Remote)

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.

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.

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.
• 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.

Bonus Points

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

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

Company Culture

CrowdStrike is committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.