Data Architect, Permanent, SQL, Python

  • Negotiable
  • London, England, United Kingdom London England GB
  • Permanent, Full time
  • Nomura
  • 22 Apr 18 2018-04-22

The Data Architect Will be responsible for providing leadership and guidance regarding data modelling best practices, data governance and quality practices.

Department overview:

The Global Markets Technology (GMT) Data Services function oversees the current / future technology roadmap as it relates to within Global Markets. The function works with the Global Markets Business to delivery our GM Data Strategy .

Role Description:

Data Architect

    • Will be responsible for providing leadership and guidance regarding data modelling best practices, data governance and quality practices.
    • Will also be responsible for defining a framework for cataloguing Nomura's current data assets (Trade, Market Data, Inquiry/Order)
    • The role require collecting business requirements from business groups, then transforming those requirements into data models.
    • Contribute to the definition of Nomura's architectural vision and direction around data
    • Understand the architecture discipline, processes, concepts and best practices, e.g. TOGAF
    • Undertake communications and marketing efforts for Enterprise Architecture across GM

Skills, experience, qualifications and knowledge required

Key contribution areas critical to success:

    • Data Architect should have strong data modelling skills and think of innovative ways that data science can be applied to benefit the business
    • Excellent communication and presentation skills. Proven experience in communicating with international teams
    • Significant experience in the finance industry with a highly in-depth knowledge of global equities or fixed income products

Desired Skills:

  • 8+ years' experience in an application and/or data architecture role in the financial services sector.
  • Excellent understanding and experienced use of appropriate technology e.g. SQL, Java, UML etc.
  • Understanding of enterprise information.
  • Understanding of data modelling.
  • Data Analysis and Project management skills.
  • Understanding of Software Development Life Cycle (SDLC) for both Agile and Waterfall projects.
  • Understanding of Capital Markets and Investment Banking.
  • Ability to depict enterprise information conceptually, logically, and physically.
  • Ability to manage changing requirements in a highly dynamic environment.
  • Demonstrable ability and confidence to build relationships with technology colleagues at all levels.
  • Pragmatic approach to problem solving.
  • Appreciation and understanding of technological advancements and regulatory requirements in the financial industry and beyond which may impact and contribute to the strategic architecture.
  • Strong verbal, written and presentation communication skills.
  • Deep technical aptitude and knowledge of various technology platforms.
  • Broad understanding across technologies and other architecture domains.
  • Be educated to degree level in a numerate or technical discipline, e.g. Computer Science or Engineering.