Data Solution Architect - Snowflake on AWS

_{01st September, 2026}

Our client is seeking an experienced Data Solution Architect to join a major data modernisation program focused on migrating on-premises data platforms to Snowflake on AWS. This is an excellent opportunity to play a key role in defining target-state architecture, driving cloud data transformation, and delivering scalable, secure, and governed data solutions within a complex enterprise environment.

The Opportunity
As the Data Solution Architect, you will translate high-level data architecture and business requirements into end-to-end solution designs. You will work closely with stakeholders across architecture, engineering, security, governance, and business teams to architect and guide the migration of enterprise data workloads into a modern Snowflake and AWS ecosystem.

Key Responsibilities

• Assess current-state data environments, source systems, interfaces, and dependencies.
• Define target-state data architecture across Snowflake and AWS.
• Design data ingestion, transformation, storage, modelling, and consumption frameworks.
• Develop architecture patterns for batch, incremental, and near real-time data processing.
• Provide technical leadership across Snowflake architecture, including databases, schemas, warehouses, Snowpipe, Streams, and Tasks.
• Guide migration and modernisation initiatives from on-premises platforms to cloud-based solutions.
• Establish data governance, quality, lineage, metadata, and security standards.
• Define architecture principles covering scalability, resilience, performance, observability, and cost optimisation.
• Produce architecture artefacts including solution designs, data flow diagrams, standards, and architecture decision records.
• Provide architecture governance and design assurance throughout delivery and transition to support teams.

Required Experience

• Proven experience as a Data Architect or Data Solution Architect in enterprise environments.
• Strong hands-on architecture expertise with Snowflake.
• Deep understanding of AWS data services, data warehousing, lakehouse architectures, ETL/ELT, and enterprise data modelling.
• Experience delivering cloud migration and data modernisation initiatives.
• Strong knowledge of data governance, metadata, lineage, security, and compliance frameworks.
• Experience designing highly scalable, secure, and production-ready data platforms.
• Knowledge of DataOps, CI/CD, monitoring, and automated deployment practices.
• Strong stakeholder engagement and communication skills with the ability to work across business and technical teams.

Highly Regarded

• Experience within banking, financial services, or other regulated industries.
• Snowflake certifications.
• AWS certifications.
• TOGAF or enterprise architecture framework experience.
• Exposure to Power BI and enterprise analytics solutions.

If you have a strong background in Snowflake, AWS, and enterprise data architecture, and are looking for your next contract opportunity, we'd love to hear from you. Apply now with your updated CV.