Overview
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.
Responsibilities
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
Skills and Competencies
* 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
* 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
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