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Day rate: £600 – £800 (inside IR35)
Duration: 12 months
Start: ASAP
My new client is looking for a Azure Data Architect to join the team on a 12 month contract.
Responsibilities:
Data Architecture & Design:
· Develop and implement end-to-end data architecture solutions on the Azure platform.
· Collaborate with cross-functional teams to understand business requirements and design data solutions that align with organisational goals.
Azure Data Platform Expertise:
· Demonstrate proficiency in architecting with Azure Data Factory (ADF), Azure Databricks (ADB), Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Synapse Analytics, Azure Streaming solutions using Azure Event Hub/Grid.
· Stay current with Azure data platform services and provide recommendations for adopting new features to improve data architecture.
Data Modelling and Schema Design:
· Design and implement efficient data models and database schemas.
· Ensure data integrity, security, and optimal performance in data storage and retrieval.
Performance Optimisation:
· Identify and resolve performance bottlenecks in data processing and storage.
· Collaborate with data engineers to optimise data pipelines for speed and efficiency.
Collaboration and Communication:
· Collaborate effectively with cross-functional teams, including data engineers, data scientists, devops engineers and business stakeholders.
· Clearly communicate complex technical concepts to non-technical stakeholders.
Experience & Skills:
· Proven experience as a Data Architect with a focus on Azure data services.
· Excellent understanding of Modern Data Warehouse, Data Lakehouse, and Data Mesh architectures and best practices.
· In-depth knowledge of Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Azure Synapse Analytics.
· Strong proficiency in SQL and data modelling.
· Familiarity with big data technologies and distributed computing.
Certifications:
· Azure certifications related to data services (e.g., Microsoft Certified: Azure Data Engineer Associate) are highly desirable.
Communication:
· Strong verbal and written communication skills.
· Ability to convey complex technical concepts to both technical and non-technical audiences.
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