Snowflake Data Architect - £550 Inside IR35 - Hybrid

We are seeking an experienced Data Architect to design, build, and maintain scalable, secure, and high-performing data platforms. The ideal candidate will have strong expertise in Azure-based data solutions, Snowflake, and modern data engineering tools, and will play a key role in shaping our enterprise data architecture to support analytics, reporting, and advanced data use cases.

Key Responsibilities. Design and implement end-to-end data architectures using Azure cloud services. Architect and optimize data solutions on Snowflake for performance, scalability, and cost efficiency. Build and maintain data pipelines using Azure Data Factory (ADF). Develop and manage transformation workflows using DBT. Design and support ET/ELT processes for structured and semi-structured data. Develop data engineering solutions using Python for data processing, automation, and orchestration. Implement monitoring and observability for data systems using Prometheus. Define data models, schemas, and standards to ensure data consistency and quality. Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions. Ensure data security, governance, and compliance with organizational and regulatory standards. Troubleshoot and optimize data pipelines and architectures for reliability and performance

Required Qualifications. Proven experience as a Data Architect or Senior Data Engineer. Strong hands-on experience with Microsoft Azure data services. Extensive experience with Snowflake data warehousing. Proficiency in Azure Data Factory (ADF) for data orchestration. Strong Python programming skills. Hands-on experience with DBT for data transformation and modelling. Solid understanding of ET/ELT architecture and best practices. Experience with monitoring and observability tools such as Prometheus. Strong knowledge of data modelling, data warehousing concepts, and cloud architecture. Excellent problem-solving and communication skills

Preferred Qualifications. Experience with CI/CD for data pipelines. Familiarity with infrastructure-as-code tools. Experience working in Agile or DevOps environments. Knowledge of data governance, metadata management, and data quality frameworks

To apply for this role please submit your CV or contact Dillon Blackburn (see below)

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