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Azure Data Archtiect

Job Posted: an hour ago

  • Salary: £ 80,000 - 95,000 / Annum

    Job Type: Permanent

  • Location: Nationwide

Expire in: a month

Job Description

Azure Data Architect Location: UK Wide - Mainly remote with travel to office and client site when required Clearance Requirement: Eligible for SC clearance (must have lived in the UK for the past 5 years) Salary: £80-95,000 per annum + Permanent Benefits About the Role We're looking for an experienced Azure Data Architect who's passionate about delivering cutting-edge cloud data solutions and driving digital transformation. You'll join a high-performing team of architects, engineers, and analysts who specialise in helping organisations unlock the value of their data using modern cloud technologies. This is an opportunity to work across diverse industries, shaping and delivering data architectures that power smarter decision-making and innovation. What You'll Do Design Modern Azure Data Architectures: Lead the design and implementation of scalable, secure, and efficient data solutions using Azure PaaS and IaaS services. Collaborate Across Teams: Work closely with sales, delivery, and client stakeholders to align solutions with business objectives and technical best practices. Solution Leadership: Partner with other architects to ensure solution designs align to enterprise architecture blueprints and standards. Pre-Sales and Proposal Support: Support sales teams in defining technical strategies, solution proposals, pricing, and bid responses. Hands-On Expertise: Provide technical guidance on Azure components such as Synapse Analytics, Data Factory, Data Lake, Databricks, Purview, Azure SQL, and Storage. What We're Looking For We're seeking someone who combines deep technical capability with strong consulting and leadership skills. You'll ideally have: Azure Solution Architect certification (essential). Proven experience designing data-focused solutions in Azure environments. Expertise across Azure PaaS and IaaS, including App Services, Synapse Analytics, Azure Data Lake, and Data Factory. Strong understanding of CI/CD and Infrastructure as Code (IaC) using tools such as Azure DevOps. Familiarity with containerisation and orchestration (Docker, Kubernetes). Knowledge of networking and security fundamentals in Azure (ExpressRoute, load balancing, DNS, availability sets). Awareness of other cloud platforms (AWS, GCP) is a plus

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