Senior Integration Architect - Data, API & IoT

Penske Truck Leasing Co.; Reading (Berks County); On-site; USD 120,000 - 170,000; Full time

Job summary

Penske Truck Leasing Co., L.P. is seeking a senior-level Integration Architect to drive end-to-end integration across Big Data platforms, APIs, and IoT data sources.

You will partner with architects, developers, and platform teams to deliver scalable, secure integrations and ensure data flow between UI, analytics, and backend systems. The role requires deep hands-on experience with REST, Kafka, API gateways (Apigee preferred), and modern microservices, with leadership responsibilities including

Qualifications

• Bachelor’s degree in CS, Eng, or equivalent.
• 10+ years in integration development/architecture.
• Experience with REST APIs and web services architecture.
• Hands-on with Kafka/Flink or similar messaging platforms.
• Experience with API gateways and Apigee preferred; others a plus.

Responsibilities

• Design and implement end-to-end integration solutions across data platforms.
• Lead API management, governance, and observability.
• Develop event-driven architectures with Kafka and streaming pipelines.
• Mentor teams and promote best practices across product groups.
• Collaborate across cloud and on-prem environments and maintain security standards.
• Contribute to CI/CD and performance optimizations.

Skills

REST APIs

Kafka

GraphQL

API gateways

Java/Spring Boot

Go / Python / Node.js

Docker

Kubernetes

AWS/Azure/GCP

Event-driven architecture

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Tools

Apigee

Kafka/Flink

gRPC

GraphQL

Docker

Kubernetes

CI/CD (GitHub Actions, Jenkins, etc.)

IaC tools

Job description

Penske Truck Leasing Co., L.P. is seeking a senior-level Integration Architect to drive end-to-end integration across Big Data platforms, APIs, and IoT data sources.

You will partner with architects, developers, and platform teams to deliver scalable, secure integrations and ensure data flow between UI, analytics, and backend systems. The role requires deep hands-on experience with REST, Kafka, API gateways (Apigee preferred), and modern microservices, with leadership responsibilities including