Job Title: Data Solution Architect (AWS, Data Engineering) Location: Norwich, Norfolk (3 Days a week) Job Type: Contract (Inside IR35) Duration: 6 Months The Role Your Responsibilities: (Up to 10, Avoid repetition) Experience as Solution Designer and should be currently working on Data Lake (Big Data) based projects. Guide the full lifecycle of a BI solution, including requirements impact analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Ability to demonstrate structured consideration of multiple options (ideally comparing competing technologies, but even comparing different functional design approaches / options would be helpful); [eg Produce a KDD] Ability to present / discuss competing options and make a recommendation to key stakeholders [as per KDD, but ability to discuss with others to gain support and/or feedback] Ability to present recommended design to a governance group / authority, and to champion the design whilst responding to the group's feedback. Thought leadership in Big Data space with proven expertise in delivering challenging assignment. Provide thought leadership for Data Management, Data Migration Strategy and Data Lake Solutions. Good knowledge on Data Modelling and able to translate Business requirements to Design and Data Models, technical designs and analytical solutions to meet business needs. Liaising with enterprise architects, solution designers, analysts, and development partners. Designing the BI Big data solution and application customization on an AWS Cloud based platform. Provide technical assistance to development team with day today technical issues. Undertaking the deployment of proposed solution. Your Profile Essential skills/knowledge/experience: Good understanding of Data Lake and Big Data technologies. Understanding of AWS Services will be required. AWS native data services (S3, Lambda, Kinesis) etc. ETL/ELT solutions such as AWS glue, DBT, Data solutions such as Snowflake. Good understanding of Insurance Domain. Desirable skills/knowledge/experience: (As applicable) BFSI domain experience (risk, fraud, AML, credit, customer analytics). Exposure to GenAI, LLMs, and vector databases. TOGAF or cloud architecture certifications.