Data Architect - Azure

Posted 08 March 2023
Salary 100000-110000
Job type Permanent
Discipline Business Change & Transformation
Contact NameCallum Gough-Mackay
Remote working Hybrid/Flexible

Job description

Data Architect – Azure
Location – Reading, Berkshire
Hybrid Working

Role overview
We have an exciting opportunity for a Data Architect to join our growing Data & AI team. The successful applicant will work alongside our architects and consultants to deliver high-quality data solutions to help our customers become more successful in becoming a data-guided organisation. The Data Architect is responsible for planning, designing, and delivering elegant solutions using Microsoft Azure data services.

  • Designing cloud-based data platforms and data solutions using a wide range of 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 requirements

About you
  • Strong experience in modern data platform architecture (Data Warehouses, Data Lakes, Dimensional Modelling, Streaming vs Batching, etc)
  • Knowledge and understanding of key data strategy pillars across people, processes and technology
  • Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance
  • Strong experience in Data Warehouse methodologies
  • Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI
  • Strong experience in SQL
  • Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc)
  • Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI)
  • An ability to explain complex problems in a simple and effective manner
  • Strong peer and senior stakeholder management skills (including engagement with exec level sponsors)