Sr. Data Pipeline Engineer (Remote)

CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches with its advanced AI-native platform. The Sr. Data Pipeline Engineer will be responsible for building, scaling, and optimizing data ingestion and processing pipelines, ensuring the reliability of the enterprise data platform while collaborating with global teams.

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