Sr. Director, Data Engineering

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 a highly experienced Senior Director of Data Engineering to lead the strategy, design, and delivery of enterprise data platforms and integrations. This role will focus on enabling Analytics, AI initiatives (including MCP protocols), GTM, Finance and other Enterprise metrics, and providing a strong foundation to support Data Science and AI teams.

The ideal candidate combines strategic vision with hands-on technical leadership—comfortable guiding global teams at scale while also diving deep into architecture, integrations, pipelines, and data models. This role requires experience in fast-paced, high-growth environments, fluency in both business and technology, and a proven track record of scaling and managing global teams.

What You'll Do:

Leadership & Strategy:

• Define and execute the enterprise data engineering roadmap aligned to business and technology strategy.

• Act as a hands-on leader, actively participating in architecture reviews, pipeline design, and technical troubleshooting.

• Build, mentor, and scale a global data engineering team with a focus on excellence and innovation.

• Data Engineering & Integrations

• Lead design and implementation of integrations and data curation efforts related to Sales, Marketing platforms, Finance/ERP, and other enterprise applications.

• Architect and deliver secure, scalable data pipelines to support analytics, AI, and business reporting.

• Implement modern data protocols (e.g., MCP) to enable AI-driven workflows.

• Partner with Data Scientists to ensure high-quality, curated datasets are available for modeling and experimentation.

• Analytics, AI & Metrics Enablement

• Deliver frameworks that provide consistent GTM, Customer Success, Finance and other executive metrics.

• Ensure trusted data availability for dashboards, KPIs, and advanced analytics use cases.

• Translate business objectives into scalable technical data solutions.

What You'll Need:

• 15+ years of experience in data engineering, enterprise integrations, and analytics platforms, with 7+ years in senior leadership roles.

• Demonstrated hands-on leadership—capable of guiding design/architecture while engaging in solutioning when necessary.

• Deep expertise with Sales, Marketing tech stacks, Finance/ERP systems, and enterprise-grade integrations.

• Proven ability to deliver scalable solutions for high-volume data ingestion and product analytics.

• Strong track record of supporting AI/ML and Data Science teams through advanced data infrastructure.

• Experience managing global, distributed engineering teams in high-growth environments.

• Excellent communication skills with the ability to bridge business priorities and technical execution.

• Bachelor’s or Master’s in Computer Science, Engineering, or related field; MBA a plus.

• Experience working for a SaaS security company and building Product adoption metrics is preferred.

Required Technical Skills:

• Cloud Data Warehouses: Snowflake, Amazon Redshift (experience optimizing high-volume data environments).

• Orchestration & Workflow Tools: Apache Airflow, DBT (data build tool).

• Integration Platforms: iPaaS solutions (e.g., MuleSoft, Workato, Boomi, N8N) and open-source integration frameworks.

• Data Ingestion & Processing: Expertise in designing high-volume, real-time and batch ingestion pipelines (Kafka, Kinesis, Spark, or equivalent).

• Programming & Data Engineering: Proficiency in SQL, Python, and modern data modeling approaches.

• Cloud Platforms: AWS, GCP, or Azure, with strong understanding of data services and scaling strategies.

Benefits of Working at CrowdStrike:

• 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

Right to Work

For detailed information about the U.S. benefits package, please click here.