Integration Architect

PenskeReading, PA
6h

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

  • REST APIs
  • Messaging
  • Event Streams
  • Kafka
  • gRPC
  • GraphQL
  • API Gateways
  • Apigee
  • OAuth2
  • JWT
  • mTLS

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.
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