Senior Manager, Data Engineering
CrowdStrike
Job Overview
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Job Description
About CrowdStrike
As a global leader in cybersecurity, CrowdStrike protects the people, processes, and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe, and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation, and a fanatical commitment to our customers, our community, and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About The Role
We are seeking an experienced Senior Manager, Data Engineering to lead a global team of data engineers responsible for building, scaling, and optimizing modern data ingestion and processing pipelines. This leader 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.
The ideal candidate will bring deep technical expertise, strong people leadership across global teams, and a proven ability to operate in a high-growth, fast-paced SaaS environment.
What You'll Do
- 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.
What You'll Need
- 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.
Bonus Points
- Experience working for a SaaS security company and building business metrics is preferred.
Key skills/competency
- Data Engineering
- Data Pipelines
- Airflow
- DBT
- Python
- Kafka
- Snowflake
- Data Governance
- DevOps
- People Management
How to Get Hired at CrowdStrike
- Research CrowdStrike's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your application to highlight leadership in data engineering, proficiency in Airflow, DBT, Python, Kafka, and Snowflake.
- Highlight data leadership: Showcase your experience in managing global, distributed data engineering teams and driving large-scale data initiatives.
- Prepare for technical deep-dives: Be ready to discuss architecture, real-time streaming, API ingestion, and CI/CD practices in a data context.
- Showcase problem-solving skills: Prepare examples of how you've solved complex data integration and scalability challenges in high-growth environments.
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