Data Architect responsible for planning and delivering data solutions using Azure services in a consultancy environment. Collaborating with architects and consultants to enable customers' success in data-driven operations.
Responsibilities
Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake/Blob Storage, Microsoft Fabric, Azure Synapse Analytics, Azure Cosmos DB, Azure Data Factory, Power BI and cloud-native integration technologies
Building conceptual, logical and physical data models optimised for analytical use cases
Contribute to definition of data architecture framework, standards and principles
Mapping data from source to target and establishing current & future state based on business requirements
Provide technical leadership and mentoring to team members
Responsible for the technical readiness, scalability, & quality assurance of final deliverables
Effectively translate and accurately communicate across technical and non-technical stakeholders as well as facilitate discussions within a multidisciplinary team
Prepare technical documentation to a high standard
Requirements
Extensive modern data platform expertise, including Data Warehouses, Data Lakes, Dimensional Modelling, and both streaming and batch processing approaches
Strong grounding in data strategy and management, covering people/process/technology pillars, Data Governance, Data Quality, Master & Reference Data Management, Metadata Management, and Security & Compliance
Deep experience with Data Warehouse methodologies and strong SQL capability, complemented by solid experience in Python/ PySpark
Broad hands-on experience across Azure Data Services, including Azure Databricks, Azure SQL Database, Data Lake/Blob Storage, Microsoft Fabric, Synapse Analytics, Cosmos DB, Azure Data Factory, and Power BI
Strong understanding of supporting technologies, including Azure infrastructure (Subscriptions, Resource Groups, VNets, Kubernetes, IAM), modern reporting platforms (dashboarding, advanced analytics, ML/AI), and Infrastructure-as-Code tools such as Terraform or Bicep, plus good knowledge of Azure DevOps Pipelines
Knowledge and experience of the following would be advantageous: Architecture: Agentic AI, enterprise architecture frameworks, and Apache Spark; Data & Platforms: Enterprise data integration, Microsoft BI stack, and AI/ML platforms on Azure/Databricks/Fabric; Cloud & DevOps: AWS/GCP and CI/CD tools ( BitBucket , Jenkins); Certifications: Azure Architect Expert and/or TOGAF
Benefits
A collaborative and supportive environment in which you can grow and develop your career
The tools and opportunity to do work you can be proud of
A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
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