SC Cleared Data Architect (SAS)

Data Architect - (Minerva SA Reg Risking)
Clearance Required: SC
Duration: 6 months
Location: Telford with 2 days/week in office
IR35 Status: Mandated PAYE only

Job Description:

Project Overview:

• The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations.
• Currently, the system identifies approximately 200,000 fraudulent registrations out of 1 million, resulting in an estimated £51 million to £219 million in lost SA repayment claims for HMRC (based on 2021/2022 figures).
• To address this, a proof of concept (POC) was developed using:
• SAS Enterprise Guide for table creation,
• SAS Studio V and SAS RTENG to build the SA registration network,
• SAS Viya 3.5 tools for risk assessment of new SA registrations.
• The POC leveraged data from 20 different sources, most of which were already housed in the Minerva Oracle database. Previously, some data had to be transferred manually. However, the automated file transfers described in this Solution Design Document (SDD) will now move that data to the SAS platform using approved Enterprise Architecture (EA) integration patterns, with the initial phase, targeted for delivery in April 2026.
• This role will form part of a new scrum team within Minerva Platfrom to develop and deliver the Ingestion and Risking within the SAS Platform including IDP.

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
Working is the second of 4 ascending skill levels
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
Working is the second of 4 ascending skill levels
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
Working is the second of 4 ascending skill levels
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
Working is the second of 4 ascending skill levels
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
Working is the second of 4 ascending skill levels
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
Working is the second of 4 ascending skill levels
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
Awareness is the first of 4 ascending skill levels
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
Working is the second of 4 ascending skill levels
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