Engineering Manager, Technical Operations - Data & Cost Optimization (Remote)

Engineering Manager, Data Analytics

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

The CrowdStrike TechOps Data Analytics organization is looking for an Engineering Manager to support our data engineering and cost optimization initiatives. Their team will specialize in solving elusive problems through data-driven approaches while maximizing operational efficiency and resource utilization. You'll oversee a remote team of data engineers who directly support CrowdStrike leadership with custom and off-the-shelf data solutions, while ensuring optimal performance and cost-effectiveness of our cloud and data center infrastructure.

What You'll Do

Provide strategic leadership for a team of data engineers, focusing on hands-off management that empowers team autonomy while ensuring alignment with organizational goals

Drive cost optimization initiatives across data infrastructure, identifying opportunities for efficiency while maintaining high performance standards

Oversee the design and implementation of scalable data pipelines, ETL processes, and analytics solutions that support CrowdStrike's critical business functions

Manage resource allocation, budgeting, and cost forecasting for data engineering projects and infrastructure

Collaborate with cross-functional leadership to align data strategy with business objectives and cost management priorities

Develop and implement KPIs and metrics to measure team performance, data infrastructure efficiency, and cost optimization success

Mentor and grow engineering talent, focusing on career development and building a high-performing, innovative team culture

What You'll Need

Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred

7+ years of experience in data engineering or analytics roles with at least 3+ years in management positions

Strong understanding of data pipeline architectures, cloud infrastructure, and cost optimization strategies

Experience managing budgets and optimizing costs in cloud environments (AWS, GCP, Azure, OCI)

Background in data technologies including Apache Airflow, Airbyte, Apache Superset, DBT, and SQL

Demonstrated ability to translate technical concepts into business value and ROI

Experience leading and developing high-performing engineering teams with a hands-off management approach

Bonus Points

Experience in cybersecurity industry or working with security-related data

MBA or advanced degree in a quantitative field

Previous success implementing significant cost-saving initiatives in data infrastructure

Knowledge of machine learning operations and associated infrastructure requirements

History of speaking at industry conferences or publishing on data engineering topics

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.