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The Solution Architect acts as the key technical leader bridging business needs and engineering execution, specializing in integrating and optimizing a multi-platform environment including Salesforce, Netsuite, Workday, and Mulesoft. This role requires deep expertise in enterprise architecture, system integration, data governance, and the strategic application of Artificial Intelligence and Machine Learning features native to or integrated with these platforms.
Job Responsibility:
Solution Design & Architecture: Design end-to-end technical solutions that meet business requirements, ensuring scalability, reliability, and security across the entire application landscape
System Integration Leadership: Lead the architectural strategy for integrating key business applications, including Salesforce (CRM), Netsuite (ERP), Workday (HCM/Finance), and leveraging Mulesoft for enterprise-level integration and API management
AI/ML Architecture: Architect and govern the strategic implementation and integration of AI/ML capabilities within core SaaS platforms (e.g., Salesforce Einstein, Workday AI), ensuring data readiness, governance, and ethical application of models for predictive analytics and automation
Technical Documentation: Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, integration specifications, and solution blueprints
Cross-Functional Collaboration: Partner effectively with Product Managers, Delivery teams, and Business Stakeholders to translate strategic initiatives into concrete, actionable technical designs
Research and evaluate new technologies and tools to enhance the existing architecture and drive innovation across the organization
Participate in security reviews and compliance audits related to system architecture and data flow
Mentor junior technical staff on architectural best practices and system complexities
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field
Minimum of 7 years of experience in an architectural role, with significant experience in a high-growth SaaS or technology environment
Proven expertise in designing and implementing complex integrations between multiple enterprise SaaS applications
Deep architectural knowledge of Salesforce and at least one other major platform (Netsuite or Workday)
Hands-on experience with an integration platform as a service (Mulesoft preferred) and API-led connectivity principles
Strong understanding of data modeling, security, governance, and the architectural principles required to support AI/ML initiatives within a SaaS application ecosystem
Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical audiences
Demonstrated experience architecting solutions that leverage native AI features of SaaS platforms (e.g., Salesforce Einstein, Workday AI) or integrating external AI/ML services via a platform like Mulesoft
Familiarity with agile development methodologies and DevOps practices
What we offer:
company-wide bonuses based on monthly sales targets