Sr. Solutions Architect/Senior Enterprise Integration Architect - Finance Systems

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Solutions Architect/Senior Enterprise Integration Architect - Finance Systems based in India. This is a senior technical architecture role focused on building the data and integration foundation that connects critical Finance, FP&A, Procurement, HR, and Legal systems. You will design scalable enterprise data models, integration patterns, APIs, and automation across a diverse cloud-based business applications ecosystem. The role combines solution architecture, backend integration, data governance, security, and emerging AI capabilities. You will help establish reliable data flows and a unified source of truth across platforms such as Coupa, Workday, NetSuite, Navan, Lattice, and Greenhouse. You’ll also explore AI-driven automation and frameworks such as Model Context Protocol (MCP) to enable secure, self-service business workflows. Working with technical and functional stakeholders globally, you will influence architecture decisions and drive complex initiatives from design through deployment. This is an opportunity to make a direct impact on enterprise scalability, operational efficiency, data quality, and secure digital transformation. Lead integration architecture and data strategy across Finance, FP&A, Procurement, HR, and Legal systems, ensuring reliable cross-platform data flows and consistent business processes. Define and maintain enterprise data models, data lineage, integration patterns, and architectural standards that establish a trusted source of truth across G&A applications. Design, build, and optimize secure integrations using REST APIs, webhooks, OAuth 2.0, SQL, microservices, and file-based data exchanges. Develop integrations across platforms including Coupa, Workday, NetSuite, Navan, Lattice, Greenhouse, and other enterprise applications. Architect AI-enabled automation workflows and evaluate emerging technologies, including Model Context Protocol (MCP), to securely connect internal tools and data with AI agents. Establish robust data security practices, including encryption, masking, field-level protection, access controls, and secure handling of financial, employee, and legal information. Partner with business systems analysts, functional teams, IT, Security, and Audit to define ownership, accountability, technical responsibilities, and delivery priorities through structured governance frameworks. Support agile delivery by refining requirements and user stories, contributing to testing and deployment activities, and ensuring solutions meet functional and technical objectives. Improve data reliability, reduce manual processes, strengthen system performance, and establish scalable automation across end-to-end enterprise workflows. Maintain technical architecture diagrams, configuration standards, SOPs, and integration documentation while ensuring alignment with SOX, GDPR, CCPA, and other applicable controls. Promote sustainable engineering and operational practices that improve long-term scalability, maintainability, and cross-functional collaboration. Requirements: Bachelor’s degree in Computer Science, Information Systems, Data Architecture, or a related technical discipline, or equivalent practical experience. 8+ years of experience in system integrations, backend development, enterprise architecture, or a closely related field. Strong hands-on expertise with REST APIs, web services, SQL, JavaScript and/or Python, OAuth 2.0, webhooks, and modern integration patterns. Experience designing data structures, integration architectures, and enterprise workflows across Finance, Procurement, HR, ERP, ATS, or similar business applications. Practical experience with platforms such as Coupa, Workday, NetSuite, Navan, Lattice, and/or Greenhouse is highly valuable. Knowledge of LLM application patterns, AI integration technologies, AI automation tools, and modular protocols such as Mode