Integration Architect

Position Summary

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.

• 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, Graph
  
  QL, 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.

• 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, Mule Soft, 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 (Git Hub Actions, Jenkins, Git Lab, etc.) and IaC‑aware delivery.

• Strong analytical, debugging, communication, and documentation skills.

• Exposure to Graph
  
  QL, gRPC, Web Sockets.

• Experience with schema registries and event contract management.

• Familiarity with observability stacks (ELK/Open Search, Prometheus, Open Telemetry).

• 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.

• The physical and…