Salary: £130,000 - 132,600 per year Requirements: Strong knowledge of SAP S/4HANA, SAP Analytics Cloud, SAP Datasphere, and large data lake (e.g., Snowflake MDH) Experience with ETL tools, APIs, and data integration frameworks Proficiency in data modeling and architecture design Familiarity with insurance industry data (actuarial, investment, policy administration) Understanding of regulatory requirements (Solvency II, ORSA) Excellent documentation and stakeholder communication skills Ability to work in a multi-vendor, cross-functional environment 8 years of experience in data architecture and integration projects (preferred) Prior experience in BFSI or insurance domain (preferred) SAP certifications in data integration or analytics (preferred) Responsibilities: Analyze existing data sources and document current ingestion processes Identify gaps in automation and standardization Assess completeness, accuracy, consistency, and timeliness of data across domains Develop a readiness scorecard for each data stream Define source-to-target mappings for S/4HANA and SAC Establish business transformation rules, validation logic, and exception handling procedures Recommend ETL/MDH-based harmonization strategies Evaluate the feasibility and benefits of introducing SAP Datasphere Define scenarios where Datasphere can enhance decision-making and analytics Ensure data architecture aligns with regulatory policies and internal governance Define data ownership and stewardship models Prepare functional specification documents for each data stream Create integration architecture diagrams and a roadmap for automation Technologies: Architect Cloud ETL SAP Snowflake More: We are seeking a skilled Data Architect to join our team in Dublin, Ireland on a contracting basis with a hybrid working model. In this role, you will lead the design of our customers data landscape and facilitate integration with key systems such as SAP S/4HANA and SAP Analytics Cloud. You will be an integral part of our efforts to enhance data management and decision-making capabilities. We value strong technical expertise, familiarity with insurance data, and excellent communication skills. We offer a collaborative environment that fosters innovation and growth. last updated 8 week of 2026