An opportunity has arisen to join this global bank, where you will develop the architecture and roadmap for Big Data capability, data warehouses, SAS environments and several BI tools.
The objective is to modernise the analytic domain systems and practices with the introduction of a Big Data Platform.
You will need to be an experienced Solution Architect able to lead, develop and mentor others. You will ideally have previously worked in an Agile delivery environment and have expertise in Big Data, Teradata, Oracle and BI technology.
You will have a keen interest in emerging technology, with the ability and desire to help shape their direction. A strong communicator, you will have the drive and motivation to make a difference at this exciting time for the business.
- Responsible for defining the Architecture practices & strategies in the Analytics domain
- Ensure the information optimisation of projects leveraging the Big Data platform, data warehouse, BI and ETL capabilities
- Manage the engagement between stakeholders and other IT colleagues to gather a thorough understanding of requirements and articulate the impact of any proposed change on the IT landscape
- Present technical concepts and IT solution strategies to stakeholders and other IT professionals enabling informed decisions to be made
- Manage Information Architecture governance processes for the domain to promote effectively govern solution quality for solution architectures
- Proven experience as a Solution Architect responsible for delivering large scale, multi-project technical solutions throughout the entire development life cycle from inception to operation
- Strong interpersonal skills with the ability to communicate effectively with a varied stakeholder audience
- Over four years' experience across multiple Architecture domains
- Over four years' experience within the IT Industry/financial services or in business consulting in the Big Data, Data Warehouse or Information Management disciplines
- Expertise in Big Data, Teradata, Oracle and BI technology