At Datashift, we're a fast-growing consultancy team dedicated to delivering innovative data-driven solutions that drive business outcomes. We're seeking an experienced Azure Data Architect to join our team and help us tackle complex data challenges.
Your Responsibilities:
* Analyze customer data requirements and design robust technical solutions that meet their needs
* Develop scalable data architectures within the Microsoft Azure ecosystem, ensuring seamless integration and high performance
* Provide expert guidance to customers on best practices in Azure, ensuring they get the most out of their data investments
* Lead data architecture initiatives and mentor junior data engineers and business stakeholders, fostering a culture of knowledge sharing and collaboration
* Collaborate with cross-functional teams to ensure cohesive data solutions that align with business objectives and drive innovation
* Develop data strategies that support organizational goals, leveraging data to inform decision-making and drive growth
* Manage data projects from conception to implementation, ensuring timely delivery and quality outcomes that meet customer expectations
* Ensure compliance with data governance principles, security protocols, and industry standards, maintaining the highest levels of data integrity and trust
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, ensuring the confidentiality, integrity, and availability of sensitive data
* Experience setting up pipelines in Azure DevOps, streamlining development and deployment processes
* Understanding of billing methods for Azure resources, ensuring cost-effective solutions that meet customer needs
* Experience writing ETLs using SQL & Python (incl. PySpark), extracting valuable insights from complex data sets
* Knowledge and deep understanding of engineering principles (e.g., CI/CD, unit testing), ensuring high-quality software development
* Familiarity with data governance capabilities within the Azure ecosystem, maintaining data quality and integrity
* Excellent communication and collaboration abilities, working effectively with cross-functional teams to deliver successful outcomes
Nice-to-Haves:
* Certified Azure Data Engineer or Azure Solutions Architect Expert, demonstrating expertise in data engineering and architecture
* Experience in industrializing APIs on Azure, considering scaling, security, and other key requirements
* Knowledge of how AI data products can be built within the Azure ecosystem, leveraging machine learning and analytics to drive business value