Snowflake Data Architect

• Design end-to-end ceded reinsurance data models across the lifecycle:

o Treaty & facultative placements, layers, limits, participations o Premium cessions, commissions, reinstatements o Claims, accruals, recoveries, cash calls, settlements

• Define Gross, Ceded, and Net data views with consistent grain across:

o Underwriting year, accident year, accounting and reporting periods

• Architect data structures supporting actuarial triangles (paid, incurred, ultimates) and ultimate recoveries analysis
• Enable accruals, credit control, and recoveries analytics, including counterparty exposure, overdue balances, and leakage tracking
• Drive ceded reinsurance data products for actuarial, finance, management, and regulatory reporting
• Design data models and reporting layers to support QMA and statutory returns, ensuring auditability, lineage, and consistency
• Establish data quality, reconciliation, and governance frameworks for ceded reinsurance domains
• Act as a trusted advisor to Reinsurance, Finance, Actuarial, Claims, and Analytics stakeholders.

Ceded Reinsurance Domain (Mandatory)

• Strong hands-on experience with:

o Treaty types (QS, Surplus, XoL, Stop Loss) and Facultative reinsurance o Recoveries, accruals, cash calls, commutations, and credit control o Gross / Ceded / Net actuarial and financial views

• Experience supporting triangles, ultimates, and regulatory (QMA) reporting

Data Architecture & Technology

• Expert in conceptual, logical, and physical data modeling
• Strong experience with cloud data platforms (Snowflake, Databricks, Azure/AWS)

• Proven use of:

o Fivetran for scalable ingestion of reinsurance, finance, and bordereaux data o Apache Kafka for event-driven and near real-time claims, recoveries, and financial feeds