Data Platform Engineer

• 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

• 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

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.