Data Architect

SC Cleared

£(Apply online only) per day, Outside IR35

Initially 2-3 Months

1-2 Days per week in London

One of our favorite Consulting partners urgently requires the services of a Data Architect to join a Discovery team, for a high-profile project in the Government space.

You must have Active Security Clearance!

Skills, Experience and Tech Stack we need:

Core Government & Policy Skills: ● Translating Policy Intent ● Understanding the 'Policy-to-Delivery' Lifecycle ● Navigating Governance & Constraints ● Stakeholder Management (Public Sector)

GDS & Service Delivery Skills: ● Fluency in GDS Principles ● Applying the GDS Service Standard ● User-Centred Analysis ● Agile & Lean Methodologies: " You must be comfortable delivering a Minimum Viable Product (MVP) and building on it based on data and user feedback.

Core data architecture skills:

1. Developing Implementation Options: ● Enterprise & Solution Architecture (TOGAF/ArchiMate): The ability to produce industry-standard architectural artifacts. You need to create clear Data Flow Diagrams (DFDs) and end-to-end service blueprints that visualize data movement across federated organizations. ● Cost & Resource Modelling: Competence in estimating the Total Cost of Ownership (TCO) for data solutions. This includes forecasting cloud consumption costs (e.g., Azure/AWS), licensing, and the specific engineering "skills mix" required to build the solution. ● Critical Path Analysis: The ability to identify architectural dependencies (e.g., "We cannot ingest data X until API Y is secured") to support the Lead Delivery Manager in building realistic timelines.

2. Confirm Access to Required Capabilities: ● Federated Data Governance: Expertise in managing data access across organisational boundaries. This involves understanding legal/security protocols (GDPR, MoUs) for sharing sensitive energy data between public bodies and private entities. ● API & Integration Strategy: ability to assess the technical maturity of partners. You must be able to evaluate their API capabilities, file transfer protocols, and legacy system constraints to determine integration viability. ● Stakeholder Technical Negotiation: The soft skill of engaging with external technical teams (e.g, at Ofgem) to secure necessary access permissions and understand their system limitations without alienating them.

3. Run Multiple Test-and-Learn Cycles: ● Rapid Prototyping & Proof of Concept Execution: The ability to move quickly from theory to code. You must be comfortable setting up "sandpit" environments to test data ingestion and querying to validate if the data actually supports the policy intent. ● Data Profiling & Quality Assessment: Competence in querying raw data sources to identify gaps, anomalies, or quality issues that would block eligibility checks (e.g., "Is the meter point administration number consistent across datasets?"). ● Agile Architecture: The flexibility to iterate designs based on immediate feedback from the "test-and-learn" cycles, rather than sticking to a rigid upfront design.

If this sounds like you, please submit your latest CV for immediate review by our Talent team.

Thanks