Data Architect for High-Profile Government Program
Join our project team delivering a high-profile Government program as a Data Architect. Lead Data Infrastructure Discovery, build a road map, and produce deliverables such as architecture options, recommendations, and security & governance models.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Data Architect
Data Infrastructure Discovery / Road Map
£550-600 per day, Outside IR35
Fully Remote
Start ASAP!
Initially until end of March + likely extensions
We are urgently seeking the services of an experienced Data Architect to join a project team delivering a high-profile Government program (No SC required).
You'll lead a Data Infrastructure Discovery project, and build out a road map position to deliver.
Key Deliverables & Activities:
Phase 2: Architecture Options & Recommendation
Conduct a deep-dive assessment of the current systems, constraints, and integration points.
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Map analytical data flows (statistics, APIs, surveillance intelligence, unstructured sources).
Evaluate 2 to 3 infrastructure options, including Azure-based Analytical Platform (e.g., Data Lake, Data Factory, Databricks, or Fabric), Microsoft Fabric "small org" model, and a Hybrid model
Produce the Data infrastructure blueprint.
- Design the Security & governance model.
- Provide Tooling recommendations (RAP tooling, Python/R environment, metadata management).
- Develop the Cost model and TCO implications.
- Complete the Risk assessment.
Phase 3: Roadmap & Operating Model
- Build a three-year, staged roadmap with functional milestones at each stage.
- Define KPIs signaling readiness for each stage.
- Propose the governance model (for data stewardship, ingestion, rapid change, quality, versioning, and RAP compliance).
- Define the ongoing maintenance approach aligned to low internal capacity.
- Contribute to the Skills/capability plan and Process maps.
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Typical Skill Set:
- Deep expertise in data architecture, data warehousing, and data platform design.
- Strong practical knowledge of Microsoft 365/Azure investments and services, specifically those for data and analytics (e.g., Azure Data Lake, Azure Data Factory, Databricks, Microsoft Fabric).
- Experience with Reproducible Analytical Pipelines (RAPs), including the setup of appropriate Python/R environments and tooling.
- Ability to map complex analytical data flows from various sources (statistics, APIs, unstructured data).
- Experience in designing security and governance models for data platforms.
- Financial acumen to develop cost models, including Total Cost of Ownership (TCO) implications.
- Experience in developing implementation roadmaps and defining operating models for data capabilities in small to medium-sized organizations.
- Experience in the Public Sector and/or Government
Please apply by submitting your latest CV for immediate review by our Talent team.
Thanks!
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