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Permanent

Microsoft Cloud Architect

London
money-bag Negotiable
8E9D1D438DC3C3C11CDE3DCF31F9B950
Posted 4 days ago

Overview

Microsoft Cloud Architect – Principal role at Slalom. London or Manchester | Hybrid.Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. Slalom partners with leading technology providers to deliver practical, end-to-end solutions that drive meaningful impact.Microsoft Cloud Architect – Responsibilities

Lead as a hands-on architect on Azure, Fabric and Databricks implementationsResearch, analyse, recommend, and select technical approaches for solving challenging development and integration problems for clientsExplore emerging technology vendors and recommend/advise clients on reference architecturesDesign and develop scalable Databricks solutions on both Azure and AWS environmentsLead the architecture and deployment of data solutions using Databricks and FabricMicrosoft Cloud Architect – Qualifications

Expert in capturing end-user requirements and aligning technical solutions to the business objectivesExperience in leading, designing, and implementing Cloud Data strategies, including designing multi-phased implementation roadmapsSignificant experience (and ideally certified) in Azure and acted as lead data architect on at least two Azure implementationsExperience with Databricks architecture and development on Azure and AWS platformsExpertise in data architecture concepts such as dimensional modelling, data vault, data meshUnderstanding of data management and governance concepts such as data quality, metadata management, etc.Experience in designing data engineering solutions using open source and proprietary cloud data pipeline toolsStrong hands-on experience with Databricks or Fabric. Ability to implement data processing and transformation pipelines in Databricks or FabricExperience in leading data platform development teamsKnowledge of data science and visualizationIdeally will have Azure Certification aligned with Data Engineering or AnalyticsFamiliarity with integrating Databricks or Fabric with other cloud services and optimizing performance across different cloud environmentsIf you require any assistance with regards to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help.

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