Collegamento...

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Data Architect

Luogo: City of London, London
Stipendio: £650 - £800 per day
Postato: giorni 13 fa
Tipologia di contratto: Contract
Industria: Data & Business intelligence, Data & Technology
Nome del contatto: Scott Wilson
Contatto email: Scott.Wilson@ojassociates.com

Data Architect

This is a technical position with responsibility to lead the development, validation, publishing, and maintenance of logical and physical data models to support the data requirements of the company.

  • Determine data layer requirements through analysing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems
  • Develops the Enterprise Logical Data Model (LDM).
  • Knowledge and use of data profiling tools and techniques
  • Management of development, integration, administration, and evolution of the data ecosystem.
  • Applying technical architectural concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability and manageability
  • The ability to convert business requirements into data requirements
  • Must be able to converts as-is application models to data models

Candidate Summary:

  • Must posses excellent communication skills both written and verbal as this position will require the ability to manage stakeholders of varying levels.
  • Proof of undertaking extensive analysis and taking design through to the point of implementation
  • Strong presentation skills
  • Advanced Excel experience

Qualification Summary

  • At least 2 years experience of working in a Data Architect's role.
  • A minimum of 5 years working in a Data Analysis position/
  • Significant hands-on experience with relational database technologies and ETL tools (SQL and SSIS)
  • Excellent verbal and written communication skills.
  • Proven experience in delivering precise documentation of AS IS and TO BE data architecture and processes
  • Ability to evaluate existing data models and physical databases for variances and discrepancies
  • Linking business processes to data models
  • Ability to develop, publish, and maintain all documentation for data models
  • Able to identify data requirements by interrogating legacy databases / models / data transformation steps / validation rules as well as through interviews with subject matter experts.

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