Job description
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.
Job requirements
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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