Integration Architect

Penske•Cumru Township, PA

18h

About The Position

Drive end-to-end integration solutions across Big Data platforms, data-driven web applications, and enterprise API management. Partner with architects, developers, and platform teams to design and implement reliable, scalable, and secure integrations that connect IoT/data sources, analytics platforms, and front-end experiences.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
10+ years in integration development/architecture with strong hands-on depth.
Proven experience with: REST APIs (JSON/XML) and web services architecture.
Kafka/Flink (or comparable messaging/event platforms).
API gateways/management (Apigee strongly preferred; Kong, MuleSoft, etc. a plus).
Microservices development (Java/Spring Boot, Go, Python, or Node.js).
Solid grasp of integration patterns and best practices (sync/async, resilience, idempotency, back-pressure, retries, DLQs).
Containers and orchestration (Docker, familiarity with Kubernetes).
Cloud platform familiarity (AWS, Azure, or GCP).
Experience with CI/CD (GitHub Actions, Jenkins, GitLab, etc.) and IaC-aware delivery.
Strong analytical, debugging, communication, and documentation skills.
Exposure to GraphQL, gRPC, WebSockets.
Experience with schema registries and event contract management.
Familiarity with observability stacks (ELK/OpenSearch, Prometheus, OpenTelemetry).
API security/identity (OAuth2, OIDC, mTLS) and policy enforcement.
Understanding of domain-driven design (DDD) and data mesh concepts.
Regular, predictable, full attendance is an essential function of the job
Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required.

Responsibilities

Design and implement integration solutions using REST APIs, messaging, and event streams to connect disparate IoT/data sources with analytics and Big Data platforms.
Apply standard patterns (request/response, pub/sub, async messaging, orchestration, choreography) to ensure resilient and scalable integrations.
Build and maintain reusable integration modules, connectors, and utilities using technologies such as Kafka, gRPC, GraphQL, and API gateways.
Architect backend integration layers that power data-driven web interfaces, ensuring seamless, governed data flow between UI components and Big Data systems.
Design streaming and batch data pipelines; optimize schemas, topics, and event contracts in partnership with product and data architecture teams.
Support and scale enterprise Apigee adoption—configure proxies, policies, caching, quotas, security, and monitoring for high-throughput workloads.
Establish and champion API design guidelines and governance; drive API performance, observability, and lifecycle management across teams.
Develop producers/consumers and stream-processing apps using Kafka (or similar), including schema registry usage, topic design, and consumer group strategies.
Promote event-driven architecture (EDA) practices and integrate EDA with microservices and analytical use cases.
Embed security by design (OAuth2, JWT, mTLS), secrets management, and zero-trust principles into integration components.
Implement observability (structured logging, distributed tracing, metrics); contribute to CI/CD pipelines for automated tests, security checks, and deployments.
Participate in design reviews, code reviews, integration testing, and performance tuning; provide Tier-3 troubleshooting support.
Translate target architecture and reference models into detailed technical designs and roadmaps.
Collaborate across cloud and on-prem environments; align with enterprise standards and data governance.
Mentor developers and help uplift integration practices across product teams.
Other projects and tasks as assigned.