Sr. Manager - Data Engineering (Remote) at CrowdStrike

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

220000.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, People Management, Airflow, DBT, Python, Kafka Streaming, Snowflake, API-Based Data Ingestion, Real-Time Streaming, Data Pipeline Orchestration, SFDC Integration, NetSuite Integration, Workday Integration, Data Governance, DevOps, CI/CD

Industry

Computer and Network Security

Description

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: We are seeking an experienced Senior Manager, Data Engineering to lead a global team of data engineers responsible for building, scaling, and optimizing modern data ingestion and processing pipelines. This leader will play a critical role in integrating a variety of data sources, enabling analytics and AI-driven insights, and ensuring the scalability and reliability of our enterprise data platform. The ideal candidate will bring deep technical expertise, strong people leadership across global teams, and a proven ability to operate in a high-growth, fast-paced SaaS environment. What You'll Do: Lead, mentor, and develop a global team of data engineers, fostering collaboration across time zones and driving operational excellence. Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake. Design and implement real-time and batch ingestion frameworks integrating data from various business systems and APIs. Partner closely with analytics and BI teams to define, curate, and deliver business metrics, KPIs, and standardized data models. Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday, and other core business applications. Collaborate with data science and product teams to support AI assistance bot integration, AI/ML workflows, and product telemetry analytics. Ensure engineering excellence by aligning data practices with DevOps principles, CI/CD automation, and robust data governance standards. 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: 8+ years of experience in data engineering, with at least 3+ years in a people management or leadership role. Demonstrated success leading and managing global, distributed teams across multiple time zones. Proven expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake. Deep experience in API-based data ingestion, real-time streaming, and data pipeline orchestration at scale. Hands-on experience with data integration from SFDC, NetSuite, Workday, and similar business platforms. Strong background in partnering with analytics and BI teams to curate and deliver business metrics and actionable insights. Exposure to AI assistance bot integrations, data science workflows, and ML data pipelines. Understanding of SaaS product telemetry, metadata management, and data governance principles. Experience applying DevOps and CI/CD practices to data engineering environments. Excellent communication, leadership, and stakeholder management skills. Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field. Bonus Points: Experience working for a SaaS security company and building business metrics is preferred #LI-SC1 #LI-Remote 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. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $145,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:05-04-2026 CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world’s leading businesses into the headlines could not be solved with existing malware-based defenses. Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There’s much more to the story of how Falcon has redefined endpoint protection but there’s only one thing to remember about CrowdStrike: We stop breaches.

Responsibilities

This role involves leading and mentoring a global team of data engineers to build, scale, and optimize modern data ingestion and processing pipelines, while architecting large-scale solutions using technologies like Airflow, DBT, Python, Kafka, and Snowflake. The manager will also partner with analytics, BI, and data science teams to deliver business metrics, KPIs, and support AI/ML workflows.