Snowflake Data Architect

Responsibilities :

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.

Additional Responsibilities:

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

Advanced SQL and working knowledge of Python

Experience supporting analytics and BI consumption (Power BI / Tableau). Personal Attributes

Strong analytical mindset with attention to financial and contractual detail

Ability to bridge actuarial, finance, and data engineering teams

Executive-level communication and stakeholder management skills

Comfortable operating in complex, global reinsurance environments.