Consulting – Core Business Operations: Cloud Engineering – Solutions Architect

Midrand

Company Description
About Deloitte

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the “Deloitte organization”) serves four out of five Fortune Global 500® companies. Learn how Deloitte’s approximately 312,000 people make an impact that matters at www.deloitte.com.

About the Cloud Engineering Team

Deloitte is an industry leader in our clients Digital transformations. We recognize that the backbone enabling our clients highest aspirations for analytics and cognitive solutions is next-gen Cloud infrastructure. From cloud consulting, to implementation, and ongoing managed services we offer a full scope of Cloud services and solutions. We want talent who is ready to innovate cloud services and empower our clients to leap frog forward in their technical capabilities. Building your career at Deloitte offers the opportunity to work with cutting-edge Cloud technologies to deliver next-Gen Cloud solutions. We embrace the tech pioneer mindset and always enable our talent to keep their skills evolving at the speed at which the technology marketplace is evolving.
Job Description
Main Purpose of Job

The Solution Architect is responsible for designing and leading the implementation of a solutions and capability architecture for a particular business capability / user journey, according to the overall digital vision and target architecture.  This role is responsible for the technical analysis and holistic solution design of future capabilities and features, including external dependencies, cross-domain APIs, and technical enablers / stories.  This role is responsible for reviewing the target architecture vision and roadmap, evaluating and prioritizing roadmap items, and translating them into designs and non-functional requirements.  This incumbent is responsible for providing support to engineering to ensure development of technical stories are aligned to defined architecture paradigms, principles, and patterns.

Key Accountabilities

Translate the overall digital vision and target architecture into corresponding solution designs and change requirements
Design end-to-end solutions and cross domain integration and APIs
Define non-functional, operational, and quality requirements for solutions
Define technical stories to enable business capabilities, fostering re-use of existing components, and accept technical features following demos
Collaborate to plan the release of technical stories
Provide guidance to delivery teams to ensure alignment
Facilitate solution compliance to security, privacy, and regulatory needs
Qualifications
Must have technical / professional qualifications

Bachelor’s Degree in Computer Science, Information Systems, Systems Analysis, or other related field
Five to seven years of experience in at least three disciplines, such as business, information, solution or technical architecture, application development, middleware, information analysis, database management or operations in a multitier environment
Extensive exposure to multiple, diverse technologies and processing environments
Extensive experience in business capability modelling and technical and solution architecture development in a digital business context
Experience working with agile methodologies
Additional Information
Core competencies, knowledge and experience

Solution architecture and design
Feasibility analysis
Business capability / customer journey architecture governance in agile software delivery
Technical enablers, integration APIs,  and detailed technical and operational story design
Infrastructure design
Estimation techniques for scaled agile
Technology Innovation: scouting, screening and evaluation
Cost of ownership of technology, application portfolio management
Web-scale cloud-native architectures including IaaS, PaaS and SaaS
Design of web-scale architectures and systems of innovation and engagement
DevOps practices and automation tools
Artificial intelligence, machine learning and big data technologies and architectures
Excellent analytical, technical, and problem solving skills, with high-levels of creativity
Excellent written and verbal communications skills, with both technical and business audiences
Excellent relationship building, teamwork, and collaboration skills that enables the provision of effective support and guidance across multiple DevOps teams
Ability to quickly comprehend the functions and capabilities of new technologies, with natural intellectual curiosity and integrity
Sound business understanding and market awareness
Ability to understand long-term (‘big picture’) and short-term perspectives of events and change and how they relate to achieving business outcomes
Strong time-management skills, with the ability to juggle multiple balls