Sr. Principal Data Engineer - Data Ingestion Pipeline
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Key skills for this role
Role Overview
As a Data Pipeline Engineer, you will be the architect of our high-volume data ecosystem.
You will build and scale the critical pipelines that ingest logs and telemetry from our high-performance engines, transforming massive streams of data into actionable intelligence.
Your work will directly power our advanced threat detection capabilities by ensuring our security platforms have reliable, real-time access to network traces and operational metrics at massive scale.
Key Skills for This Role
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Key Responsibilities
Design, build, and scale high-throughput log and telemetry ingest pipelines capable of processing massive data streams from our distributed inline security engines with ultra-low latency.
Implement and standardize observability frameworks using OpenTelemetry (OTEL) to capture distributed tracing, metrics, and logs across complex, microservices-based architectures.
Architect and manage a highly performant trace lake to store, index, and query deep network forensics, facilitating rapid threat hunting and machine learning model training.
Develop and maintain robust benchmark infrastructure to continuously validate pipeline performance, latency, reliability, and data integrity under peak global loads.
Partner tightly with Data Plane and Machine Learning engineering teams to ensure seamless, efficient data flow from the edge directly into our centralized analytical platforms.
Qualifications
- Required Qualifications:
- Education & Experience: BS/MS in Computer Science, Data Engineering, or a related technical field (or equivalent practical experience) with 14+ years of software or data engineering experience with a strong focus on building distributed, high-throughput streaming data pipelines (e.g., GCP Cloud Pub/Sub, Bigtable, BigQuery).
- Cloud Infrastructure: Solid, hands-on experience designing and deploying cloud infrastructure on Google Cloud Platform (GCP).
- Observability: Deep expertise in observability standards, specifically OpenTelemetry (OTEL), and managing large-scale time-series, log, or trace databases.
- Programming Skills: Exceptional programming skills in Go, Python, or Java.
- Additional Experience:
- Modern Systems Programming: Familiarity with the Rust programming language is highly desired.
- Performance Monitoring: Experience with measuring data pipeline processing latency metrics (e.g., tracking P90/P99 latency).
- Specific Databases: Familiarity with managing and querying large-scale databases such as ClickHouse and Elasticsearch.
- Infrastructure-as-Code: Proven experience with Infrastructure-as-Code (e.g., Terraform) and container orchestration platforms like Kubernetes.
- Data Architecture: Strong understanding of data modeling, data governance, and optimization for distributed storage systems.
- Compensation Disclosure
- The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
- Our Commitment
- We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
- We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
- Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
- All your information will be kept confidential according to EEO guidelines.
About Palo Alto Networks
Palo Alto Networks is a cybersecurity company. It develops platforms and services that help organizations protect networks, cloud environments, endpoints and security operations, and it also provides threat intelligence and incident response services.
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