Data Engineer, Go To Market

## About the Role As a Data Engineer, Go To Market at Crowdstrike, you will play a critical role in driving the company's cybersecurity initiatives forward. Your primary responsibility will be to design, develop, and maintain complex data frameworks that empower Operational Data Store and Enterprise Data Lake Platforms. You will work closely with stakeholders to translate business needs into scalable data solutions, leveraging your technical expertise to drive innovation and growth. The Go To Market domain requires a deep understanding of sales pipelines, bookings, and quota attainment, making this role an exciting opportunity for data engineers with a passion for sales data analysis.

The success of Crowdstrike's cybersecurity platform relies heavily on the ability to collect, analyze, and act on vast amounts of data. As a data engineer, you will be responsible for ensuring that this data is accurate, reliable, and accessible to stakeholders across the organization. Your work will have a direct impact on the company's ability to stop breaches and protect its customers, making this a truly rewarding role for those who are passionate about using data to drive real-world outcomes.

Crowdstrike is committed to fostering a culture of innovation and collaboration, and as a data engineer, you will be encouraged to think creatively and push the boundaries of what is possible with data. You will be part of a talented team of engineers, analysts, and sales professionals who are all working together to drive the company's mission forward.

## What You Will Do - Lead the full lifecycle of data engineering projects, from initial requirement gathering to production deployment and monitoring - Design, develop, and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT, and databases such as Snowflake - Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies - Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines - Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making - Collaborate with stakeholders to identify and prioritize data-driven projects, ensuring that data solutions align with business objectives - Develop and maintain technical documentation, including data models, data flows, and system architecture diagrams - Participate in code reviews, ensuring that all code meets high engineering standards and is properly tested - Stay up-to-date with emerging trends and technologies in data engineering, applying this knowledge to continuously improve the company's data capabilities

## What We Are Looking For - 5+ years of experience in design and development of complex automation frameworks, queries, data modeling in SQL, Python, DBT, and Apache Airflow - Deep experience working with sales pipelines, bookings, and quota attainment, including hands-on experience with sales data domains - Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures - Advanced proficiency in the DBT lifecycle, including CI/CD processes such as Jenkins, Gitlab CI/CD, and source control tools like GitHub - Experience identifying and solving issues concerning data management, improving data quality, and optimizing data for ingestion and consumption - Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline - Experience working with cloud databases such as Snowflake, Redshift, or similar data lakes - Strong understanding of data governance, data security, and data compliance principles

## Nice to Have - Experience with sales automation tools such as Salesforce, People.ai, or Clari - Knowledge of CRM systems and experience integrating business data from enterprise applications into semantic layers - Familiarity with machine learning or artificial intelligence concepts and their application to data engineering - Experience working in a fast-paced, agile environment with multiple stakeholders and competing priorities

## Benefits and Perks - Competitive salary and benefits package - Opportunity to work with a talented team of engineers, analysts, and sales professionals - Collaborative and dynamic work environment with a focus on innovation and growth - Flexible working hours and remote work options - Access to cutting-edge technologies and tools - Professional development opportunities, including training and conference attendance - Comprehensive health and wellness package, including medical, dental, and vision benefits - Generous paid time off and holiday schedule

- Tip: Highlight your experience working with sales data domains, including sales pipelines, bookings, and quota attainment, to demonstrate your ability to drive business outcomes with data.

• Tip: Be prepared to discuss your technical expertise in data engineering, including your experience with DBT, Apache Airflow, and cloud databases such as Snowflake.
• Tip: Showcase your ability to communicate complex technical concepts to non-technical stakeholders, including sales and marketing teams.
• Tip: Emphasize your experience working in a fast-paced, agile environment with multiple stakeholders and competing priorities.
• Tip: Research Crowdstrike's company culture and values, and be prepared to discuss how your own values and work style align with those of the organization.
• Tip: Prepare examples of your previous work, including data models, data flows, and system architecture diagrams, to demonstrate your technical skills and experience.
• Tip: Be prepared to discuss your experience with data governance, data security, and data compliance principles, and how you have applied these principles in previous roles.