Integration Architect
Advanced
Fort Lauderdale, FL, United States
16 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Microsoft Azure
Software Quality
Code Review
Continuous Integration
Data Governance
Extract Transform Load (ETL)
Software Design Patterns
Intrusion Detection Systems
Python (Programming Language)
OAuth
+18 more
Performance Tuning
Regression Testing
Salesforce.Com
Software Engineering
Systems Integration
Azure Service Bus
Data Logging
Enterprise Software Applications
Apache Spark
Technical Debt
Event Driven Architecture
Low-code
Enterprise Integration
Event Sourcing
Api Design
Software Coding
Stream Analytics
Container Apps
Job description
- Assess code quality, technical debt, scalability risks, and supportability
- Establish event contract standards and schema governance
- Stand up deployment and release management processes
- Eliminate single points of failure and harden resiliency
- Accelerate downstream consumer integrations across multiple enterprise applications
- Implement automated and regression testing for customer master events
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- Deep hands-on Fabric experience: Eventstreams, Notebooks, Lakehouse, Warehouse, Real-Time Analytics
- Enterprise-scale Pub/Sub and event-driven architecture design and delivery
- Azure Container Apps, Event Hubs, and Service Bus integrated with Fabric
- Event routing, replay, dead-letter patterns, and idempotent processing
- Performance tuning for Fabric workloads and event pipelines
- Observability, logging, monitoring, and production support readiness
Requirements
- Expert in Platform Events, Pub/Sub API, and gRPC integrations
- Real-time integration experience, not batch ETL
- OAuth, event subscriptions, replay IDs, and resiliency patterns
- Bidirectional Salesforce-to-enterprise integration design
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- True software engineering background, not low-code only
- Java, Python, Spark, and modern API development
- Automated testing frameworks for event-driven systems
- Code review discipline, design patterns, coding standards, and CI/CD
- Track record refactoring prototypes into production-quality solutions
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- Customer master / MDM synchronization across multiple applications
- CDC, event sourcing, data contracts, and schema management
- Canonical customer models and downstream distribution patterns
- Data quality frameworks and validation rules
- Customer onboarding, update, and account sync workflows
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