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Data Streaming Jobs in Pennsylvania (NOW HIRING)

$60.25 - $80.75/hr

Stream and batch processing frameworks (e.g., Flink, Spark, Beam) * Ensure alignment with security, compliance, and data governance requirements Scalability, Reliability & Observability * Establish ...

WBRE/WYOU seeks to hire a streaming content producer to produce and manage content for digital ... Please be aware candidates may be at risk of being targeted by scammers seeking personal data or ...

Streaming Content Producer

Wilkes Barre, PA · On-site

$120K/yr

WBRE/WYOU seeks to hire a streaming content producer to produce and manage content for digital ... Please be aware candidates may be at risk of being targeted by scammers seeking personal data or ...

Python Developer

Malvern, PA · On-site

$49.25 - $68/hr

... data streaming technologies (e.g., Kafka, Kinesis) Exposure to Agile/Scrum methodologies 4+ years of experience in design and implementation of large enterprise public cloud environments - AWS ...

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

... stream-processing systems, using solutions such as Storm or Spark-Streaming Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala Experience with Spark Experience with integration ...

Showing results 21-40

Data Streaming information

What are typical daily responsibilities for someone working in data streaming?

Professionals in Data Streaming typically design, develop, and maintain real-time data pipelines, ensuring continuous and reliable data flow across systems. They monitor the health of streaming platforms, troubleshoot latency or processing issues, and optimize performance for scalability. Collaboration with data engineering, analytics, and DevOps teams is common to ensure integration and alignment with business needs. Regular activities may also involve updating system configurations, deploying new features, and maintaining data security and compliance throughout the streaming infrastructure.

What are the key skills and qualifications needed to thrive in the data streaming position, and why are they important?

To excel in Data Streaming roles, candidates need a solid understanding of distributed computing, real-time data processing, and programming in languages such as Java, Scala, or Python. Experience with tools like Apache Kafka, Apache Flink, Spark Streaming, and relevant cloud platforms, along with certifications such as Confluent Certified Developer, are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are important soft skills. Mastery of these skills enables professionals to efficiently handle large-scale streaming data workloads and ensure reliable, low-latency data pipelines in dynamic business environments.

What is a data streaming?

A Data Streaming job involves managing real-time data pipelines to process, analyze, and deliver continuous data flows. Professionals in this role work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to ensure seamless data movement and low-latency processing. They design scalable architectures that handle large volumes of events for use cases like real-time analytics, monitoring, and AI-driven decision-making.

What are popular job titles related to Data Streaming jobs in Pennsylvania? For Data Streaming jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Streaming jobs in Pennsylvania look for? The top searched job categories for Data Streaming jobs in Pennsylvania are:
Infographic showing various Data Streaming job openings in Pennsylvania as of August 2026, with employment types broken down into 66% Full Time, 11% Part Time, and 23% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Sr. Data Architect, Large Scale Distributed Systems

Emerging Threats Pro

On-site

$60.25 - $80.75/hr

Full-time

Re-posted 7 hours ago


Job description

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

Required Qualifications

Experience

  • 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 accessibility@proofpoint.com.

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