Data Platform Engineer

Ampcus Inc.•Newyork city, NY

About The Position

Ampcus Inc. is seeking a highly motivated candidate to join their talented Team as an Integration & Data Platform Engineer. This role involves designing, configuring, and supporting cloud data, messaging, API, and AI integration services essential for digital platforms. The engineer will facilitate secure data movement, event-driven integration, storage connectivity, Azure AI Search enablement, and OpenAI integration validation across cloud-native and enterprise application services.

Requirements

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.
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

Nice To Haves

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

Responsibilities

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.
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.
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.