About Us

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work

At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Role Overview

We are seeking an experienced Senior Architect to lead the design and evolution of enterprise-scale distributed systems supporting 50M+ connected sensors and high-volume event processing pipelines.

This role is critical to building and operating mission-critical backend platforms that process millions of events per second across both synchronous and asynchronous architectures, with stringent requirements for scalability, reliability, security, and performance.

The ideal candidate brings a proven track record of architecting and scaling production-grade systems at extreme scale, along with the ability to drive technical strategy, governance, and cross-functional alignment in a complex enterprise environment.

Key Responsibilities

Architecture & System Design

Define and lead the architecture of large-scale distributed systems capable of ingesting and processing high-velocity data streams from 50M+ sensors
Design resilient systems across synchronous (API-driven) and asynchronous (event-driven, streaming) paradigms
Establish architectural standards for scalability, fault tolerance, and performance optimization

Data Platform Engineering

Architect real-time and batch data pipelines for high-throughput ingestion, transformation, and storage
Drive design decisions across streaming, processing, and storage layers to ensure optimal performance and cost efficiency
Enable support for time-series, event-driven, and analytical workloads

Technology Strategy & Governance

Define and enforce enterprise architecture principles, standards, and best practices
Evaluate and guide adoption of modern data technologies, including

Distributed messaging systems (e.g., Kafka, Pulsar)
Scalable data stores (e.g., Cassandra, DynamoDB, Bigtable, ClickHouse, Elasticsearch)
Stream and batch processing frameworks (e.g., Flink, Spark, Beam)

Ensure alignment with security, compliance, and data governance requirements

Scalability, Reliability & Observability

Establish and operationalize SLAs, SLOs, and error budgets
Design for high availability, multi-region resilience, and disaster recovery
Implement enterprise-grade observability frameworks (monitoring, logging, tracing)

Leadership & Collaboration

Partner with engineering, product, security, and data teams to align architecture with organizational objectives
Provide technical leadership, mentorship, and architectural oversight across multiple teams
Lead design reviews and ensure adherence to architectural standards

Experience

Required Qualifications

10+ years of experience in distributed systems and backend architecture
Demonstrated success in scaling systems to

50M+ connected devices/sensors, or
Comparable high-scale environments (e.g., IoT, telecom, fintech, ad-tech, infrastructure platforms)

Proven experience with high-throughput event-driven architectures in production environments

Technical Expertise

Deep understanding of distributed systems concepts, including

CAP theorem, consistency models, and trade-offs
Partitioning, replication, and sharding strategies
Event delivery semantics (at-least-once, exactly-once, idempotency)

Strong experience with

Streaming and messaging systems (Kafka, Pulsar, or equivalent)
Real-time and batch processing frameworks
Scalable NoSQL and analytical data stores

System Design & Engineering

Expertise in designing

Low-latency, high-throughput APIs
Event-driven and asynchronous processing systems
Multi-region, highly available architectures

Strong programming proficiency in one or more of Go, Java, Scala, or Rust

Preferred Qualifications

Experience with large-scale IoT or telemetry platforms
Familiarity with edge-to-cloud architectures
Experience operating in multi-cloud or hybrid environments
Knowledge of enterprise security frameworks, data governance, and compliance (e.g., SOC2, ISO, GDPR)
Exposure to AI/ML data pipelines and large-scale analytics platforms

Success Metrics

Architecture supports billions of daily events with consistent performance and reliability
Systems demonstrate horizontal scalability and fault isolation
Clear separation and optimization of real-time vs batch workloads
Strong adherence to enterprise architecture and governance standards

Why Proofpoint

At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us

Competitive compensation
Comprehensive benefits
Career success on your terms
Flexible work environment
Annual wellness and community outreach days
Always on recognition for your contributions
Global collaboration and networking opportunities

Our Culture

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to [HIDDEN TEXT].

How To Apply

Interested Submit your application along with any supporting information- we can't wait to hear from you!

Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.

Base Pay Ranges

SF Bay Area, New York City Metro Area

Base Pay Range 254,000.00 - 349,250.00 USD

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska

Base Pay Range 208,800.00 - 287,100.00 USD

All other cities and states excluding those listed above

Base Pay Range 187,000.00 - 257,180.00 USD

Sr. Data Architect, Large Scale Distributed Systems