IT Data Architect (Azure) - Law Firm

Job Responsibilities

• The Data Architect will be responsible for owning and executing the firms' Enterprise Data Strategy.
• This will include leading and influencing the alignment of data strategy, and data architecture, across multiple service lines, and programmes of work.
• The Data Architect will be responsible for translating the firms' data strategy into clear, actionable roadmaps of data-orientated solutions.
• As part of this, the role holder will be responsible for embedding data quality, metadata and compliance requirements into reference architecture and associated standards, patterns and principles.
• The Data Architect will become a key role as new business models and opportunities arise from an increased use of technology such as Machine Learning and AI.
• The role holder will be expected to have a deep understanding of SaaS, PaaS, IaaS and Hybrid cloud technologies with a particularly deep understanding of Azure portfolio of data services
• The Data Architect role will also have a responsibility to provide Architectural oversight of the technologies used within the firms, on behalf of the Strategy & Architecture Department.
• The role will also have a responsibility to help choose and manage suppliers involved in any other assigned project deliverables.

Skills Required

• ToGAF 9 or higher certified.
• Experience of working with wide variety of data - structured, semi structured & unstructured - and associated data sources.
• Deep knowledge of the data architecture lifecycle, from concept to deployment and consumption.
• Hands-on experience in contextual data modelling, entity relationship modelling, logical & physical data modelling and data lake design.
• Proven experience in architecting enterprise-ready data warehouse, data lakehouse, and master data management solutions.
• Deep hands-on experience in architecting enterprise data platforms using Azure-native components and data services. Experience with - Azure Synapse Analytics, Azure data lake Gen1/Gen2, Azure Data factory, Azure Databricks, Azure CosmosDB, Azure Table Storage and Azure Blob Storage, MS Fabric, Azure Purview
• Proven experience in designing, implementing and integrating data management platforms for data cataloguing, classification and metadata management.
• Good understanding of cloud networking architecture, operations, automation and cost management in context of data-orientated solutions.
• Experience in leveraging APIs for system-to-system data integration.
• Knowledge and experience of working with Azure-native AI and ML services, as part of enterprise data solutions and platforms.

This role offers hybrid working - 3 days WFH weekly.