Sr. Data Platform Engineer (Hybrid)

CrowdStrike•Sunnyvale, CA

6d•$140 - $215•Hybrid

About The Position

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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. 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's Data Platform group is integral not only to our day-to-day operation but also to our customers' ability to access and learn from our historical threat remediation findings. We empower them directly with self-service platforms and tooling to execute vulnerability- and attack-surface management failsafes in their own environments, based on hundreds of petabytes of historical threat data. Our Data Infrastructure team within DP is seeking an exceptional Senior Engineer (De-facto tech lead, in this case) to build Data Applications handling complex data transformations. This is a high-impact, hands-on functional leadership position where you'll architect and build mission-critical applications that scale seamlessly from small datasets to to multi-petabytes, ensuring data resilience and business continuity for our cybersecurity platform. This role can be based out of Sunnyvale/Silicon Valley Metro 'OR' Austin Metro and will likely include 1-3 days in-office per week on average (Austin office is being expanded, so workers here will remain fully remote for likely 18-24 months)

Requirements

8+ years of software development experience with strong coding skills in Python and/or object-oriented Java
Deep experience with Apache Spark or Apache Flink in production environments, bonus points for experience building Spark/Flink internals (Ditto: Iceberg)
Deep expertise in data platform architecture, ETL design patterns, and large-scale data processing
Strong Kubernetes (K8s) experience including deployment, scaling, monitoring, and troubleshooting
Proven track record of scaling data applications from small datasets to multi-petabyte scale
Experience designing and implementing disaster recovery and data replication solutions
Strong understanding of distributed systems, data consistency models, and fault tolerance patterns
Advanced knowledge of Spark internals, optimization techniques, and performance tuning
Experience with Flink streaming applications and stateful processing
Proficiency with K8s ecosystem (Helm, operators, service mesh, monitoring tools)
Strong SQL skills and experience with both relational and NoSQL databases
Experience with cloud platforms (AWS, Azure, or GCP) and their data services
Familiarity with CI/CD pipelines, GitOps, and infrastructure automation
Demonstrated ability to drive technical roadmaps and influence engineering strategy
Strong communication skills with ability to articulate complex technical concepts to all audiences
Experience mentoring engineers and fostering a culture of technical excellence
Proven ability to make pragmatic trade-offs between speed, quality, and scalability
Self-motivated with strong ownership mindset and ability to work autonomously

Nice To Haves

Experience with real-time data streaming and event-driven architectures
Knowledge of data governance, compliance, and security best practices
Contributions to open-source projects (Spark, Flink, or related technologies)
Experience in cybersecurity or high-stakes production environments
Background in site reliability engineering or DevOps practices
Advanced degree in Computer Science or related field

Responsibilities

Design, develop, and maintain enterprise-grade disaster recovery and data replication solutions using Python and/or object-oriented Java
Build scalable data applications on top of Apache Spark and Apache Flink that scale seamlessly to handle massive data volumes (multi-PB scale)
Lead the technical roadmap for disaster recovery infrastructure, driving architectural decisions and best practices
Mentor and guide engineering teams on distributed systems design, data platform technologies, and coding excellence
Architect and implement robust ETL pipelines for disaster recovery scenarios with focus on data integrity and performance
Design fault-tolerant, highly available data replication systems across multiple regions and availability zones
Optimize data processing workflows to handle exponential data growth while maintaining sub-second recovery objectives
Implement monitoring, alerting, and automated recovery mechanisms for data platform resilience
Deploy and manage applications on Kubernetes (K8s) with deep understanding of container orchestration, scaling, and resource management
Implement infrastructure-as-code practices for disaster recovery environments
Collaborate with SRE teams to ensure 99.99%+ availability of critical data services
Drive continuous improvement in deployment automation, testing, and operational excellence

Benefits

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

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