Solutions Architect

Position Description: TOP 3 Must Have : 1. Strong experience as solution architect or enterprise architect 2. The candidate must be a former hands-on developer with at least 5 years experience with programming 3. Strong knowledges on cloud solution (Azure is a plus) TOP 3 Nice to Have : 1. Experience in implementing, scaling solution and maintaining the solution 2. Exceptional communication skills, with the ability to articulate complex ideas to both technical and non-technical stakeholders. 3. Strong interpersonal and leadership abilities to influence and inspire across organizational boundaries. Skills Required: -Bachelor's or Master's degree in computer science, Engineering, or a related field. -At least 5-6 years of hands-on experience on Java/J2EE or Python, with the ability to dive into the technical weeds and build prototypes or POCs as needed. -4 years of experience in technology leadership, with at least 3 years in enterprise architecture roles. -Deep understanding of enterprise systems, cloud platforms (AWS, Azure, GCP), and modern architectural patterns (microservices, event-driven architecture). -Strong background in data architecture, including integration, analytics, and governance frameworks. -Strong Object -Oriented Programming and Design Pattern concepts with practical experiencing of leveraging the same during development. -Strong analytical and problem -solving skills. Candidate should be able to design and then implement solutions. -Experience in ideating and scaling innovation programs and fostering alignment between IT and business teams. -Exceptional communication skills, with the ability to articulate complex ideas to both technical and non-technical stakeholders. -Strong interpersonal and leadership abilities to influence and inspire across organizational boundaries. Skill Desired: -Certifications such as TOGAF, SAFe Architect, AWS Certified Solutions Architect, or similar. -Experience with frameworks like ITIL, COBIT, or Lean Portfolio Management. -Implementation level knowledge of Artificial Intelligence and Generative Artificial Intelligence -Strong Database skills including relational and semi structured databases. -DevOps experience covering CI/CD pipeline management, usage of containers for application deployment, observability tools.