Architecting cloud-based data platforms using a wide range of the Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage.
Building conceptual, logical, and physical data models optimised for analytical use cases.
Defining data architecture framework, standards, and principles.
Mapping data from source to target and establishing current & future state based on business data requirements.
Providing Quality Assurance, reviewing the development.
Working Knowledge of Data Modelling Tools.
Working in an agile environment.
Participate in sprint planning, estimating stories, providing proposed solutions, and identifying stories that are not ready for planning
Skills
Good knowledge of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI
Good knowledge of Azure Databricks platform and Apache Spark framework
Good knowledge of Azure DevOps Pipelines is ideal but knowledge of any other Enterprise product/tool for CI/CD is also considered, e.g.: Terraform, Jenkins, etc.
Excellent written and verbal communication skills; with the ability to explain complex problems in a simple and effective manner.
Strong peer and senior stakeholder management skills and engagement with exec level sponsors.
