Lead System Architect

Key Responsibilities

• Possesses deep understanding of technical aspects of software development; 
• Has strong leadership, organizational and communication skills in order to effectively collaborate with customers/partners, business analysts, lead other project team architects and work with developers & QA; 
• Possesses a strong understanding of EIS Suite capabilities and how best to leverage them to meet customer business needs;  
• In adherence to architectural standards, takes responsibility for designing and ensuring validity of the architectural solutions across multiple EIS Suite domains, integration with other applications/services, as well as the cloud architecture  by working closely with and coordinating efforts of multiple project team architects as well as EIS’ CloudOps organization; 
• Sets direction for the overarching integration architecture of the EIS solution, ensuring the integration architecture is aligned with EIS standards, leveraging defined integration patterns, etc; 
• Works with business analysts and customers to determine scope and work out a high-level architectural solution. 
• Works with EIS Product Management and Engineering to ensure implementation architecture aligns with future Base versions, minimizing upgrade efforts.
• Serves as technical liaison and advisor to the partner and customer technical leadership, ensuring customer and SI adhere to EIS standards; raises quality and solution integrity concerns.

Skills, Knowledge & Expertise

• Theoretical and practical knowledge in programming technologies and software development life cycle (SDLC).
• Strong understanding of object-oriented software development methodology.
• Knowledge architecture design patterns, code level design patterns, cross-system integration patterns
• Ability to write clear architectural design proposals
• Experience working with open source frameworks(Spring boot, Apache Camel)
• Experience with API gateways, authentication & authorization (SSO, OAuth 2.0, JWT)
• Experience with Kafka, databases (SQL/NoSQL), cloud environments (AWS/GCP/Azure), and containerization tools (Docker, Kubernetes).
• Strong problem-resolution  skills, especially in distributed systems.
• Familiarity with domain-specific languages (DSLs) is a plus.
• Familiarity with Agile Scrum
• Understanding legacy data conversion principles
• Fluency in Japanese and business English