Data Integration Architect XML/XSD/FpML, Investment Banking, 80 - 90,000k + bonus

  • 90k
  • London, England, United Kingdom
  • Permanent, Full time
  • McCabe & Barton
  • 16 Aug 17

Our investment banking client is looking for candidates with strong experience of data integration architecture for investment banking. The purpose of this role is to devise, document, socialise and oversee the implementation of data integration architecture which aligns with the Technology principles, target state and roadmap. The focus is initially on Real Time integration, but batch integration also needs standardisation and governance. Strong knowledge and experience of XML, XSD and related technologies, FpML and other financial markup languages are necessary.

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.