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.