Unify Talent UK
Data Architect Data Infrastructure Discovery & Road Map (Apply online only) 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. 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. 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!
Data Architect Data Infrastructure Discovery & Road Map (Apply online only) 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. 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. 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!