knowledge of contemporary architectural principles across the data architectural domain Understanding of of enterprise architecture to ensure on-going alignment, driving the technical road map for key applications
and maintain architecture artifacts, including solution roadmaps, reference architectures, and design continuously assess and improve the solution architecture Key qualifications: Strong experience in Java
while translating business requirements into architectural solutions. In addition, you will be formulating formulating the digital state of the organization's architecture, driving a high-level roadmap alongside the will be the go-to for stakeholders for all architectural content as well as driving the delivery of the
pivotal role in shaping and implementing our data architecture strategy, driving innovation, and ensuring the contemporary architectural principles, such as microservices, event-driven architecture, and data governance complex business requirements into effective data architecture solutions. Excellent communication and collaboration
design experience strategies and information architecture that support and guide product design and delivery Level 1 Certification Knowledge: Information architecture UX design UX research Digital product strategy
experience in software development and strong architecture skills to join our team at a Financial Services Hybrid) TOGAF and AWS/Azure certifications Strong architecture skills including TOGAF, UML, Archimate Excellent
engineering, application development, and data architecture? Are you skilled in SQL, database technologies and development. Solid understanding of data architecture principles and data modeling concepts. Experience
infrastructure. Strong understanding of platform architecture, infrastructure, and cloud technologies. Commercially
transformation and provide group-wide digital and data architecture. Requirements: Extensive (10 years) technical
RESTful APIs, microservices, and serverless architectures Experience with relational and/or NoSQL databases