F5-posted 4 months ago
$261,600 - $392,400/Yr
Full-time • Senior
San Jose, CA
5,001-10,000 employees

F5 is seeking a Senior Architect for Data Platform & Infrastructure to define and lead the architecture, design, and evolution of core big data systems supporting analytics, machine learning, security detections, and product intelligence across all F5 platforms. This role is responsible for the design of scalable, resilient, and secure data infrastructure—encompassing storage systems, data pipelines, stream processing frameworks, and foundational data services.

  • Define the cross-platform architecture strategy for data platforms, ensuring consistency, scalability, and performance across SaaS, appliances, and cloud-native services.
  • Guide the evolution of data ingestion, batch and streaming pipelines, data lake and warehouse design, and foundational platform services for data processing.
  • Ensure clean separation between core data infrastructure and telemetry pipelines while enabling consistent, high-quality data capabilities across the company.
  • Partner with product and engineering leadership to align data architecture with long-term business goals, analytics capabilities, and ML initiatives.
  • Evaluate emerging data technologies and paradigms for inclusion in F5’s data platform stack.
  • Participate in cross-functional design projects and roadmap planning, contributing expertise in data engineering and platform design.
  • Mentor and guide engineers and technical leads, instilling architectural best practices and data governance principles across multiple teams.
  • Evaluate emerging technologies and paradigms for inclusion in our architecture.
  • Represent architecture in planning forums, contributing to roadmap prioritization and long-range technical strategy and roadmap.
  • 12+ years of experience in software architecture and engineering, with at least 5 years focused on large-scale data platforms and infrastructure.
  • Deep expertise in distributed data systems including data lakes, warehouses, streaming pipelines, and large-scale storage architectures.
  • Experience designing and implementing batch and real-time data processing frameworks at scale.
  • Proficiency with modern big data technologies and cloud-native data patterns.
  • Experience designing multi-region, multi-tenant data systems with a focus on reliability, performance, and security.
  • Strong understanding of data governance practices including lineage, cataloging, and compliance considerations.
  • Proficiency in programming languages relevant to data engineering.
  • Strong communication skills and ability to clearly articulate architecture decisions to technical and non-technical audiences.
  • Extensive knowledge of the software development process and platform lifecycle management.
  • Strong soft skills, including collaboration, influencing, and mentoring across teams.
  • Incentive compensation
  • Bonus
  • Restricted stock units
  • Comprehensive benefits package
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