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