Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches with its advanced AI-native platform. They are seeking a Sr. Data Pipeline Engineer to build, scale, and optimize data ingestion and processing pipelines, enabling analytics and AI-driven insights for their 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

Skills

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

Benefits

• Eligibility for bonuses
• Equity grants
• A comprehensive benefits package that includes health insurance
• 401k
• Paid time off
• 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 Overview