Data Platform Engineer

Ampcus, Inc; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

Ampcus Inc is seeking an Integration & Data Platform Engineer to design, configure, and support cloud data, messaging, API, and AI integration services required for digital platforms within the environment.

The role will enable secure data movement, event-driven integration, storage connectivity, Azure AI Search enablement, and OpenAI integration validation across cloud-native and enterprise application services.

Qualifications

• 7-12 years of data platform/integration or cloud engineering experience.
• 4 years hands-on Azure data/integration or messaging services experience.
• Experience supporting AI-enabled applications and enterprise integrations.

Responsibilities

• Design, deploy, and support cloud data, messaging, API, and AI integration services.
• Configure Azure Data Factory pipelines and data movement workflows; enable event-driven patterns.
• Validate Azure OpenAI integration, endpoint connectivity, data flow, and monitoring readiness.
• Document data flows, dependencies, API touchpoints, and operational runbooks.

Skills

Azure Data Factory

Azure Service Bus

Event Hub

Azure OpenAI

Azure AI Search

REST APIs

PostgreSQL

Azure SQL

Storage Accounts

Blob Storage

Monitoring & Logs

Job description

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.

Role Overview

Seeking an Integration & Data Platform Engineer to design, configure, and support cloud data, messaging, API, and AI integration services required for digital platforms within the environment. The role will enable secure data movement, event-driven integration, storage connectivity, Azure AI Search enablement, and OpenAI integration validation across cloud-native and enterprise application services.

Key Responsibilities

Data Platform & Storage Services

• 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

Qualifications & Experience

• 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.

Preferred Qualifications

• 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 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.