Sr. Manager - Data Engineering (Remote)

CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches and redefining modern security with advanced AI-native platforms. The Senior Manager, Data Engineering will lead a global team responsible for building and optimizing data ingestion and processing pipelines, while collaborating with various teams to ensure the scalability and reliability of the enterprise data platform.

Responsibilities:

• Lead, mentor, and develop a global team of data engineers, fostering collaboration 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
• Partner closely with analytics and BI teams to define, curate, and deliver business metrics, KPIs, and standardized data models
• Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday, and other core business applications
• 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, resources, 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:

• 8+ years of experience in data engineering, with at least 3+ years in a people management or leadership role
• Demonstrated success leading and managing global, distributed teams across multiple time zones
• Proven expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake
• Deep experience in API-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
• Strong background in partnering with analytics and BI teams to curate and deliver business metrics and actionable insights
• 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
• Excellent communication, leadership, and stakeholder management skills
• 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