Datashift - Azure Data Architect
il y a 2 semaines
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 responsibilities
Analyze customer data requirements and translate them into robust technical solutions
Design and implement scalable data architectures within the Microsoft Azure ecosystem
Provide expert advice to customers, ensuring adherence to best practices in Azure
Lead data architecture initiatives and mentor junior data engineers and business stakeholders
Collaborate with cross-functional teams to ensure cohesive data solutions aligned with business objectives
Develop data strategies that support organizational goals and drive innovation
Manage data projects from conception to implementation, ensuring timely delivery and quality outcomes
Ensure compliance with data governance principles, security protocols and industry standards
Stay 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 field
6+ 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 ecosystems
Proficiency with data related Azure services such as Data Factory, Data Lake Storage, Synapse, Fabric and/or Databricks
Experience with security and network security in Azure
Experience setting up pipelines in Azure DevOps
Understanding of billing methods for Azure resources
Experience 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 ecosystem
Excellent communication and collaboration abilities
Nice-to-haves
Certified Azure Data Engineer or Azure Solutions Architect Expert
Experience in industrializing APIs on Azure, taking into account the associated requirements such as scaling, security, etc
Knowledge of how AI data products can be built within the Azure ecosystem
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