The job will involve most or all of the following activities:
Accountable for ensuring the products & services are supported by the right architectures, solutions and data models that meet customer needs
Accountable for ensuring the design of the product solutions and data models are cost effective and maintained through the agile development lifecycle, managing the flow of the backlog of design activities
Working with DevOps Engineers to ensure operational issues (data / solution enhancement, performance, operator intervention, alerting, design defect related issues, etc) are resolved and that any design related issues are addressed in a timely manner
Convert requirements into actionable product/service requirements that feed Technology solutions and data modelling development & influence service direction.
Accountable for ensuring solutions are aligned with the platform data and solution architecture and roadmap, group standards and policies and the overall enterprise architecture for their function
Accountable for acquiring approvals from technical design and control authorities on solution and data designs
Work with Architects and DevOps to design and manage best practice on data and solution architecture with clear documentations
Participate in team-wide data and architecture governance activities to review solutions and data models design, manage documentations and artifacts, and review use case implementations to ensure delivery in alignment to solution design and best practices
Define and communicate commercially aware architecture designs for data solutions in accordance to design authority governance
Work closely with the engineering teams and other stakeholders to meet the projects requirements aligned with Group standards, IT and business strategy
Create clear architecture solution choices, to provide analysis on benefits/challenges
Identifying operational and delivery risks
Provide governance on architecture. Design, implement standards and target operating models for IT activities
Development and support of Integration standards, patterns, strategies, roadmaps and architectures
Ensure that architecture results are compliant with the stated requirements, approved technologies, best practices and group strategies
Requirements:
At least 8 years’ data engineering / architecture; and 5 years’ data modelling
Strong banking industry knowledge
Strong knowledge on data architecture, including data modeling (conceptual / logical / physical data modeling), transactional database solution designing vs analytical database solution designing, ETLs, data-related non-functional requirement design (e.g. backup, archiving, performance etc)
Strong stakeholder management skills to explain technical concepts to numerous business and technical stakeholders in English
Strong analytical skills to assess design effectiveness and limitations and assist design decisions based on facts and business values
Self-motivated to take up new responsibilities, knowledge domain and skills beyond data architecture / data domain
Inspire teams to improve designs and practices on a continuous basis
Strong interpersonal, communication and presentation with good command of written and spoken English
Data warehousing experience – Kimball, Inmon approaches for data modeling
Good technical background related to Big Data technologies & open source stack in Big data space: