Datashift - Azure Data Architect

Datashift is a fast-growing consultancy team focused on delivering solutions that answer business questions with data and facts. For one of our fastest-growing practices, we are seeking a skilled Azure Data Architect. Do you have at least 6 years of experience? Do you excel at designing and implementing data architectures for clients with complex IT landscapes? If so, we are eager to receive your application and will contact you for an interview and a (virtual) cup of coffee. Your responsibilitiesAnalyze customer data requirements and translate them into robust technical solutionsDesign and implement scalable data architectures within the Microsoft Azure ecosystemProvide expert advice to customers, ensuring adherence to best practices in AzureLead data architecture initiatives and mentor junior data engineers and business stakeholdersCollaborate with cross-functional teams to ensure cohesive data solutions aligned with business objectivesDevelop data strategies that support organizational goals and drive innovationManage data projects from conception to implementation, ensuring timely delivery and quality outcomesEnsure compliance with data governance principles, security protocols and industry standardsStay updated with the latest developments in Azure technologies and industry trends to enhance data solutions Your qualifications Must-haves : Bachelor's or Master's degree in Computer Science, Information Technology or a related field6+ years of experience in data modeling, data warehousing, and data integration, with a proven track record of designing and architecting platform components to support specific use cases within Azure ecosystemsProficiency with data related Azure services such as Data Factory, Data Lake Storage, Synapse, Fabric and / or DatabricksExperience with security and network security in AzureExperience setting up pipelines in Azure DevOpsUnderstanding of billing methods for Azure resourcesExperience writing ETLs using SQL & Python (incl. PySpark)Knowledge and deep understanding of Engineering principles (e.g. ci / CD, unit testing, etc.)Familiarity with data governance capabilities within the Azure ecosystemExcellent communication and collaboration abilities Nice-to-haves : Certified Azure Data Engineer or Azure Solutions Architect ExpertExperience in industrializing APIs on Azure, taking into account the associated requirements such as scaling, security, etcKnowledge of how AI data products can be built within the Azure ecosystem