Data Engineering Manager (Remote)

CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches and redefining modern security. They are seeking an experienced Data Engineering Manager to oversee finance data sources and frameworks, ensuring the scalability and reliability of their data platform.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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
• 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