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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** Ampcus Inc - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Application Services, User Authentication, Microsoft Azure, Cloud Computing, Cloud Engineering, Cloud Storage, Data as a Services, Data Infrastructure, Extract Transform Load (ETL), Data Security, Document-Oriented Databases, PostgreSQL, SQL Azure, Performance Tuning, Redis, Cloud Services, Search Technologies, Data Streaming, Systems Integration, Azure Service Bus, Data Logging, Performance Testing, Data Ingestion, Azure Data Factory, Indexer, Event Driven Architecture, Enterprise Integration, Restful APIs, Api Management - **Published:** September 14, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18291501?backUrl=%2Fcareer%2F18291501%2FData-Platform-Engineer-New-York-New-York ## About the Role * 7-12 years of data platform, integration engineering, application integration, or cloud engineering experience. * 4 years of hands-on Azure data, integration, or messaging services experience. * Experience supporting AI-enabled applications, enterprise integrations, APIs, and cloud-native data platforms. * Strong analytical troubleshooting, documentation, and stakeholder coordination skills., * Microsoft Certified: Azure Data Engineer Associate (DP-203) * Microsoft Certified: Azure AI Engineer Associate (AI-102) is preferred * Experience with Azure AI Search, Azure OpenAI, Service Bus, Event Hub, and enterprise API integration is preferred Professional Competencies * Strong communication and stakeholder management * Structured problem solving and ownership mindset * Clear technical documentation and knowledge transfer * Ability to work across architecture, engineering, security, application, and business teams ## Description * Deploy, configure, and support PostgreSQL, Azure SQL, Redis, Storage Accounts, Blob Storage, and data platform components required by digital tool deployments. * Design secure data connectivity and access patterns for application, integration, and AI service consumption. * Support performance tuning, availability checks, backup considerations, and operational readiness for supported data services. * Configure storage integration patterns for application files, logs, data ingestion, and AI-related processing requirements. Integration, Messaging & APIs * Configure Azure Data Factory pipelines, data movement workflows, and orchestration processes for integration use cases. * Set up and support Azure Service Bus, Event Hub, and event-driven integration patterns for platform and application services. * Support REST API integrations, secure application-to-application connectivity, and API validation across Azure-hosted services. * Collaborate with application, cloud, network, and security teams to implement reliable and secure integration flows. AI Search & OpenAI Integration Enablement * Configure and validate Azure AI Search services, indexing patterns, search endpoints, and integration with application workloads. * Support Azure OpenAI integration validation including endpoint connectivity, access controls, data flow verification, and monitoring readiness. * Enable supporting services for retrieval-augmented generation patterns, data ingestion, and AI-enabled application integration where required. * Document data flows, integration dependencies, API touchpoints, operational runbooks, and troubleshooting procedures. Required Technical Skills * PostgreSQL, Azure SQL, Redis Cache, Storage Accounts, Blob Storage, and data platform administration concepts * Azure Data Factory, Service Bus, Event Hub, API integrations, and event-driven architecture patterns * Azure AI Search, Azure OpenAI integration validation, data ingestion, and RAG-supporting service awareness * REST APIs, authentication methods, secure connectivity, private endpoints, and application integration troubleshooting * Monitoring, logging, performance validation, documentation, and cross-team coordination for integration services ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Hacking MSSQL on Cloud. 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