Data Architect - SC Cleared
Rate: £560 per day (Inside IR35) Location: Telford (Hybrid: 2 days per week on-site) Security: Active SC Clearance Required Duration: 6 Months (April 2026 delivery milestone) The Project: Join a newly established Agile Scrum team within a major Government Digital Hub .
Have you got what it takes to succeed The following information should be read carefully by all candidates.
You will lead the data design for a high-priority 'Risk & Intelligence' platform.
The goal is to migrate and automate complex data flows from a legacy on-premise estate into a cutting-edge AI-powered analytics environment.
Core Responsibilities: System Migration: Design the blueprints to move data from a large-scale Oracle Enterprise environment into SAS Viya 3.5 .
Risk Modelling: Build the data architecture for real-time risking engines using SAS RTENG and SAS Studio V .
Integration: Implement automated ingestion pipelines using approved Enterprise Architecture (EA) integration patterns.
Governance: Manage metadata and data dictionaries (using MS Purview ) to ensure compliance with strict security and decommissioning policies.
Technical Requirements: SAS Stack: Strong proficiency in SAS Viya 3.5, RTENG, and Enterprise Guide.
Oracle: Extensive experience reverse-engineering data models from complex, multi-source Oracle databases.
Data Design: Ability to profile 20 disparate data sources and create scalable, unified schemas. xohmjla
Have you got what it takes to succeed The following information should be read carefully by all candidates.
You will lead the data design for a high-priority 'Risk & Intelligence' platform.
The goal is to migrate and automate complex data flows from a legacy on-premise estate into a cutting-edge AI-powered analytics environment.
Core Responsibilities: System Migration: Design the blueprints to move data from a large-scale Oracle Enterprise environment into SAS Viya 3.5 .
Risk Modelling: Build the data architecture for real-time risking engines using SAS RTENG and SAS Studio V .
Integration: Implement automated ingestion pipelines using approved Enterprise Architecture (EA) integration patterns.
Governance: Manage metadata and data dictionaries (using MS Purview ) to ensure compliance with strict security and decommissioning policies.
Technical Requirements: SAS Stack: Strong proficiency in SAS Viya 3.5, RTENG, and Enterprise Guide.
Oracle: Extensive experience reverse-engineering data models from complex, multi-source Oracle databases.
Data Design: Ability to profile 20 disparate data sources and create scalable, unified schemas. xohmjla