Data Integration Architect XML/XSD/FpML, Investment Banking, 80 - 90,0
Experience required to successfully perform the role:
- Strong understanding of integration patterns and their application
- Good understanding of trade, counterparty, product and instrument data
- Good expertise in producing architecture, design and specification documents
- Solid foundation of full IT systems life cycle, from analysis through to operational support
- Understanding of message-oriented Middleware architectures and patterns
- Experience in data modelling and database design
- Experience in relational data management systems (preferably SQL Server or Oracle)
As a Data Integration Architect in their Investment Bank Division, you will be responsible for guiding and lead the full life cycle of a Data integration solutions:
- To articulate and document the Data Integration vision and roadmap for the Bank, lead its implementation, and guide and support our solution architects in its usage
- To understand and map out the information flows between our systems, and determine how we could simplify our systems landscape
- To own schema design for integration between the Bank's systems and with external partners, including developing and running an enterprise-wide schema governance process
- To help make our integration landscape more visible, at design-time and at run-time, through use of automated tools and metadata, in collaboration with Integration Platform Architecture
- To look at whether our current interaction models (point-to-point, publish/subscribe, some request-response) are still right for our Bank.
- To improve cost-effectiveness and value for money (TCO)
- To improve developer agility and flexibility (time to market)
- To improve integration incident handling and problem management
- To improve systems landscape and integration visibility at design-time and run-time
- The Data Integration Architect will face off to a wide range of stakeholders in business and Technology, and externally to third parties, partners and vendors.
They will work closely with the following Architectural functions:
- Enterprise Architecture, which leads the definition of our target state enterprise architecture and a roadmap to get there
- Enterprise Data Architecture, which is mapping our enterprise data model, attributing data ownership, and overseeing the implementation of an enterprise data management capability
- Integration Platform Architecture, which owns and manages our Real Time and batch integration platforms.