Senior Manager, Data Engineering

November 7

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CrowdStrike

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Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• 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

🏖️ Benefits

• Remote-friendly and flexible work culture • 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