Data Architect

Data Architect

• £550 to £572 per day
  
  
• 6 month initial contract
  
  
• Inside IR35
  
  
• Hybrid working at Telford
  
  Project Overview:
  The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations.
  
  Data architect responsibilities:
  A data architect designs and builds data models to fulfil the strategic data needs of the organisation, as defined by chief data architects.
  At this role level, you will:
  

• design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy
  
• provide input into data dictionaries
  
• define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture
  Communicating between the technical and non-technical Level: working
  Working is the second of 4 ascending skill levels
  
  You can:
  
• communicate effectively with technical and non-technical stakeholders
  
• support and host discussions within a multidisciplinary team, with potentially difficult dynamics
  
• be an advocate for the team externally, and can manage differing perspectives
  
  Communicating data Level: awareness
  Awareness is the first of 4 ascending skill levels
  You can:
  
• show an awareness that data needs to be aligned to the needs of the end user
  
• create basic visuals and presentations
  
  Data analysis and synthesis
  Level: working
  You can:
  
• undertake data profiling and source system analysis
  
• present clear insights to colleagues to support the end use of the data
  
  Data governance (data architect)
  Level: working
  You can:
  
• understand what data governance is required
  
• take responsibility for the assurance of data solutions and make recommendations to ensure compliance
  
  Data innovation
  Level: awareness
  Awareness is the first of 4 ascending skill levels
  You can:
  
• show an awareness of opportunities for innovation with new tools and uses of data
  Data modelling
  Level: working
  You can:
  
• explain the concepts and principles of data modelling
  
• produce, maintain and update relevant data models for an organisation's specific needs
  
• reverse-engineer data models from a live system
  
  Data standards (data architect)
  Level: working
  You can:
  
• develop data standards for a specific component
  
• analyse where data standards have been applied or breached, and undertake an impact analysis of that breach
  
  Metadata management
  Level: working
  You can:
  
• work with metadata repositories to complete complex tasks such as data and systems integration impact analysis
  
• maintain a repository to ensure information remains accurate and up to date
  
  Problem management
  Level: working
  You can:
  
• initiate and monitor actions to investigate patterns and trends to resolve problems
  
• effectively consult specialists where required
  
• determine the appropriate remedy and assist with its implementation
  
• determine preventative measures
  
  Strategic thinking
  Level: awareness
  You can:
  
• explain the strategic context of your work and why it is important
  
• support strategic planning in an administrative capacity
  
  Turning business problems into data design
  Level: working
  You can:
  
• design data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles
  
• work within the context of well understood architecture, and identify appropriate patterns