Manager 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: CrowdStrike is seeking an experienced Manager, Data Engineering to join the Finance Data and Analytics team. This role will report directly to the Manager of Order to Cash, with matrix reporting to the Senior Manager, Data Engineering. The Manager will lead a team of data engineers and data analysts and 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, strong people leadership, and a proven ability to thrive in a high-growth, fast-paced SaaS environment. What You’ll Do: Lead and develop team of data engineers, fostering collaboration across time zones and driving operational excellence. 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 deliverbusiness 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: 10+ years in developing complex automation frameworks, queries, data modeling, and extract, transform, and load (ETL) processes, including 4+ years in management roles. 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. 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 Location- Pune (WFO) Shift ... (truncated, view full listing at source)