Location: Telford Job Type: Contract Industry: Business Transformation Job reference: BBBH425050_1760346868 Posted: about 5 hours ago
Description: Job Title: Data Architect - (Minerva SA Reg Risking)
Max Supplier Rate: £595p/d via Umbrella
Clearance Required: SC
Duration: 6 months
Location: Telford with 2 days/week in office
Job Description:
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
Skills at Working Level
You can:
1. Communicate across disciplines: Effectively engage with both technical and non-technical stakeholders, manage team dynamics, and represent the team externally.
2. Analyze and synthesize data: Profile data sources and present clear insights to support usage.
3. Apply data governance: Understand governance needs, assure data solutions, and recommend compliance measures.
4. Model data: Explain data modelling principles, create and maintain models, and reverse-engineer from live systems.
5. Implement data standards: Develop standards, assess compliance, and analyze breaches.
6. Manage metadata: Use repositories for complex tasks and maintain accurate metadata.
7. Solve problems: Investigate issues, consult experts, implement remedies, and suggest preventive actions.
8. Design data architecture: Translate business problems into data designs aligned with enterprise standards.
Skills at Awareness Level
You can:
9. Communicate data: Recognize the importance of aligning data with user needs and create basic visuals.
10. Innovate with data: Be aware of new tools and opportunities for data innovation.
11. Think strategically: Understand the strategic context of your work and support planning administratively.