2 of 2 Metadata Management Jobs in Hampshire

problems. Key responsibilities: Data Platform Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and efficient data solutions. Implement comprehensive logging, monitoring and alerting tools to … professional knowledge through continual development, and advocate best practices within a Centre of Excellence. Skills, knowledge and expertise: Deep expertise in the Databricks platform, including Jobs and Workflows, Cluster Management, Catalog Design and Maintenance, Apps, Hive Metastore Management, Network Management, Delta Sharing, Dashboards, and Alerts. Proven experience working with big data technologies, i.e., Databricks and Apache Spark. … Proven experience working with Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark More ❯

to the Service Delivery team as needed. Required Skills & Experience Extensive Power BI development experience, including expertise in PBI Desktop, PBI Service, and content distribution. Strong understanding of data management platforms, BI lifecycle methodologies, and data visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. … experience. Experience with Microsoft Dataverse, Data Factory, SSIS, and Azure Data Platform. Knowledge of Microsoft D365 Finance & Operations and Customer Experience modules. Familiarity with Fabric, Azure Synapse, and data management practices including governance, quality, and metadata management (MS Purview). Relevant Microsoft certifications such as PL-300 (Power BI Data Analyst Associate) or DP-600 (Fabric Analytics More ❯