Snowflake data Architect

As a Senior Data Architect specializing in Ceded Reinsurance with over 10 years of experience, your role will involve leading the design and delivery of enterprise-grade ceded reinsurance data products and data models. Your expertise in ceded reinsurance data architecture will enable actuarial analytics, recoveries, accruals, credit control, and regulatory reporting, including QMA returns. You will need deep gross / ceded / net data expertise, strong reinsurance domain knowledge, and hands-on experience in building scalable, analytics-ready data platforms. Key Responsibilities: - Design end-to-end ceded reinsurance data models across the lifecycle, including treaty & facultative placements, premium cessions, claims, accruals, recoveries, and settlements. - Define Gross, Ceded, and Net data views with consistent grain across underwriting year, accident year, and reporting periods. - Architect data structures supporting actuarial triangles 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. Required Skills & Experience: - Mandatory expertise in Ceded Reinsurance Domain. - Strong hands-on experience with treaty types, recoveries, accruals, and actuarial and financial views. - Experience supporting triangles, ultimates, and regulatory (QMA) reporting. - Expertise in conceptual, logical, and physical data modeling. - Strong experience with cloud data platforms like Snowflake, Databricks, Azure/AWS. - Proven use of Fivetran and Apache Kafka for scalable ingestion and event-driven data feeds. - Advanced SQL and working knowledge of Python. - Experience supporting analytics and BI consumption with tools like Power BI and Tableau. Your personal attributes should include a strong analytical mindset, attention to financial and contractual detail, ability to bridge actuarial, finance, and data engineering teams, executive-level communication, stakeholder management skills, and comfort in operating in complex, global reinsurance environments. As a Senior Data Architect specializing in Ceded Reinsurance with over 10 years of experience, your role will involve leading the design and delivery of enterprise-grade ceded reinsurance data products and data models. Your expertise in ceded reinsurance data architecture will enable actuarial analytics, recoveries, accruals, credit control, and regulatory reporting, including QMA returns. You will need deep gross / ceded / net data expertise, strong reinsurance domain knowledge, and hands-on experience in building scalable, analytics-ready data platforms. Key Responsibilities: - Design end-to-end ceded reinsurance data models across the lifecycle, including treaty & facultative placements, premium cessions, claims, accruals, recoveries, and settlements. - Define Gross, Ceded, and Net data views with consistent grain across underwriting year, accident year, and reporting periods. - Architect data structures supporting actuarial triangles 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. Required Skills & Experience: - Mandatory expertise in Ceded Reinsurance Domain. - Strong hands-on experience with treaty types, recoveries, accruals, and actuarial and financial views. - Experience supporting triangles, ultimates, and regulatory (QMA) reporting. - Expertise in conceptual, logical, and physical data modeling. - Strong experience with cloud data platforms like Snowflake, Databricks, Azure/AWS. - Proven use of Fivetran and Apache Kafka for scalable ingestion and event-driven data feeds. - Advanced SQL and working knowledge of Python. - Experience supporting analytics and BI consumption with tools like Power BI and Tableau. Your personal attributes should include a strong analytical mindset, attention to financial and contractual detail, ability to bridge actuarial, finance, and data engineering teams, executive-level communication, stakeholder management skills, and comfort in operating in co