Sr. Solutions Architect/Senior Enterprise Integration Architect - Finance Systems in India at Jobgether

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.

• 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 Model Context Protocol (MCP).
• Strong understanding of data security, encryption, masking, identity and access controls, and governance requirements for sensitive financial, employee, and legal information.
• Familiarity with SOX, GDPR, CCPA, and other enterprise compliance or privacy frameworks.
• Experience with project and technical governance practices, including RACI matrices and cross-functional accountability models.
• Strong data architecture and system design skills, with the ability to translate complex technical concepts into practical solutions.
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across technical and non-technical teams in a globally distributed environment.
• A mindset focused on automation, continuous improvement, reliability, security, and scalable enterprise solutions.

• Competitive compensation package.
• Corporate bonus and performance-based rewards.
• Company equity and retirement programs.
• Medical, dental, and vision insurance, subject to local eligibility.
• Flexible paid time off and paid holidays.
• Wellness days and company-wide end-of-year break.
• Learning and Development stipend.
• Flexible working arrangements, including remote and office-based options depending on role and location.
• Opportunities to volunteer and participate in charitable giving programs.
• Charitable donation matching.
• Mental health and wellbeing resources.
• A globally distributed, collaborative environment focused on innovation, professional growth, and continuous learning.
• Benefits and specific programs may vary depending on country and local employment arrangements.