Data Architect - SC Cleared

The Project: Join a newly established Agile Scrum team within a major Government Digital Hub. 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.
• DDaT: Familiarity with the Government Digital & Data (DDaT) framework at 'Working' or 'Practitioner' level.

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