Data Engineering Manager (Remote)

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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. 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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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:

CrowdStrike is seeking an experienced Data Engineering Manager to join the Finance Data and Analytics team. This role will be reporting directly to the Senior Manager, Data Engineering. The Manager will play a critical role in overseeing finance data sources and frameworks, ensuring the scalability and reliability of our data platform. The ideal candidate brings deep technical expertise, and a proven ability to thrive in a high-growth, fast-paced SaaS environment.

What You’ll Do:

• Design, build, and manage reliable data ingestion and transformation pipelines using Airflow, dbt, Python, Matillion, and Snowflake.

• Develop and Manage automation frameworks for key Finance metrics like ACV/ARR and support Month End/ Quarter End close.

• Collaborate closely with the US Finance Data Engineering team to define, standardize, and deliver business metrics, KPIs, and curated data models.

• Balance the development of new capabilities with the need to scale and optimize existing systems.

• Ensure reliability, scalability, and security of Snowflake data solutions and integrations.

• 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:

Experience & Expertise

• 12+ years in developing complex automation frameworks, queries, data modeling, and extract, transform, and load (ETL) processes.

• Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake

• Experience with ETL/ELT processes, data pipelines (e.g., dbt, Airflow), and modern data engineering best practices.

• Experience in scaling operations in high-growth environments.

• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Technical & Analytical Skills

• Advanced analytical capabilities with data-driven decision-making expertise

• Proficiency in Salesforce or similar CRM systems

• Hands-on experience with Agile methodologies and tools like JIRA

• Exposure to AI assistance bot integrations and the implementation of those into the data practice.

• Knowledge of Finance metrics is a plus

Leadership & Strategic Abilities

• Strategic mindset with proven success in driving transformation initiatives

• Exceptional communication skills across all organizational levels

• Experience in leading cross-functional process improvement projects

• Self-motivated with strong organizational and priority management skills

Strategic Planning & Innovation

• Experience in developing comprehensive transformation roadmaps

• Ability to identify and implement process automation opportunities

• Proven success in establishing and maintaining performance metrics

• Track record of driving operational efficiency improvements

• Experience in strategic resource planning and optimization

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Benefits of Working at CrowdStrike:

• 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

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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