Data Architect - 6 months - London - Inside IR35

The client is undertaking a transformation of their customer and marketing data architecture, moving towards a modern cloud-based data platform built around Snowflake and AWS. The Data Architect will play a key role in designing scalable data models, defining data integration patterns, and supporting the creation of a unified customer data platform to enable marketing decisioning and analytics across the organisation.., * Design and maintain scalable data architectures supporting customer and marketing data platforms

• Define data models and schemas for customer, campaign, and marketing datasets
• Design and optimise Snowflake-based data warehouse solutions
• Define data integration patterns including APIs, batch pipelines, and Real Time data flows
• Collaborate with Solutions Architects to align data architecture with overall platform strategy
• Work with data engineering teams to support ETL/ELT pipeline development
• Ensure data governance, data quality, and GDPR compliance across customer datasets
• Support the development of a Single Customer View across multiple systems
• Produce architecture documentation including data models, lineage, and integration diagrams
• Engage with stakeholders across marketing, product, engineering, and architecture teams

• Strong experience working as a Data Architect or Senior Data Engineer
• Experience designing data architectures on Snowflake
• Experience designing data platforms within AWS environments
• Strong understanding of ETL/ELT pipelines and modern data engineering practices
• Experience with customer data, marketing data, or CRM platforms
• Knowledge of data modelling, master data management, and Single Customer View concepts
• Experience designing API-based or event-driven data integrations
• Understanding of data governance, data quality, and GDPR considerations
• Experience working with Customer Data Platforms (CDPs) or marketing technology ecosystems
• Experience with streaming technologies such as Kafka
• Experience with orchestration tools such as Airflow or Azure Data Factory
• Exposure to Azure data services or hybrid cloud environments