IT consulting and custom development for enterprise data, cloud, and identity systems
Arnex Solutions is a 51–200-person consulting and software development firm headquartered in Princeton, NJ, focused on large-scale data pipelines, identity platforms, and cloud migrations. The tech stack reveals deep expertise in SailPoint/Azure AD identity governance, Oracle database work, and Salesforce customization, while active projects span SAP, Talend, and healthcare interoperability—indicating a practice centered on complex legacy modernization and compliance-heavy verticals. Senior-level hiring velocity is accelerating, with 17 engineering roles open in the last 30 days, suggesting capacity growth to support large, multi-quarter implementations.
Arnex Solutions delivers IT advisory, custom software development, and technical staffing to mid-market and enterprise clients. The service mix includes identity and access management (SailPoint, Azure AD), cloud strategy and migration (AWS, Azure, Oracle Cloud), data integration and transformation (Talend, Oracle GoldenGate), and vertical-specific implementations in healthcare and supply chain. Active projects demonstrate focus on high-touch, multi-system integrations: SAP migrations, EHR implementations, Manhattan WMS integration, and on-premises-to-cloud transitions (Acquia, SharePoint). The company positions itself as an end-to-end partner bridging strategic consulting with hands-on execution and staff augmentation.
Core: SailPoint IdentityNow, Azure AD, AWS, Azure, Oracle, Salesforce, Talend. Development: Java, Python, Node.js, TypeScript, Docker, Kubernetes. Analytics: Cosmos DB, Jenkins. Replacing Microsoft Access. No current active adoptions tracked.
Focus: Talend data fabric, Oracle GoldenGate extracts, SAP S/4HANA migrations, EHR/EMR systems, healthcare interoperability, high-availability disaster recovery, AI chatbot integration, WMS (Manhattan) connections, and on-premises cloud migration (Acquia, SharePoint).
Arnex Solutions LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.