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Data Architect - Azure
- Posted 08 March 2023
- Salary 100000-110000
- LocationReading
- Job type Permanent
- DisciplineBusiness Change & Transformation
- Reference60628
- 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.
Responsibilities
About you
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.
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 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)
