Datashift - Azure Data Architect

il y a 18 heures


Leuven, Belgique Datashift Temps plein

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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