Data Arhitect

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Employer: Vauban
Domain:
  • Banks - Financial Institutions
  • IT Software
  • Job type: full-time
    Job level: peste 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 06.03.2019
    Short company description

    Vauban joined the GFI Group at the beginning of January 2019. With more than 450 consultants in Romania, Vauban is a leading provider of IT services and innovative applications. Created in 2007, the company has experienced strong growth and has established itself as a reference partner for key accounts in the Banking, Telecom, Industry and Energy sectors.

    Requirements

    • Strong background in data architecture including expertise with data modelling, database design, and data management techniques and models including:

    - Data warehousing / data marts
    - Data mining and BI tools
    - ETL and ETL tools (e.g. Informatica).
    - Conceptual, logical and physical data modelling with ERDs (e.g., PowerDesigner)
    - Familiarity with object modelling in UML.
    - Data quality and profiling tools

    • Knowledge of an enterprise-scale SDLC.
    • Solution architecture, including patterns, processes, techniques and tools (e.g. Sparx EA).
    • Strong verbal and written communication skills.

    Responsibilities

    • Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements and aligns with enterprise strategy and related business architecture

    • Organizes data at the macro level (i.e. which subject areas are managed in which golden sources)

    • Organizes data at the micro level for a new applications by analyzing, designing and building dimensional and relational data models and logical data specifications.

    • Documents the data flow processing and architecture from the data sources through ETL processing to staging areas and through ingestion into the back end databases that drive the platforms.

    • Designs, develops, updates and maintains ETL specifications and documentation used to develop data migration mappings and transformations for Data Warehouse loading.

    • Recommends and implements data validation and data quality enhancements for the organization.