Snowflake data Architect - Bangalore or Pune - WFO -
- Infosys
- 14 - 24 years
- Pune
- 9 days ago
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Job Description
Job Title
Senior Data Architect Ceded Reinsurance
Experience
10+ years total experience, with strong specialization in Ceded Reinsurance data
architecture
Role Summary
The Senior Data Architect Ceded Reinsurance will lead the design and delivery of
enterprise-grade ceded reinsurance data products and data models, enabling
actuarial analytics, recoveries, accruals, credit control, and regulatory reporting
(including QMA returns). The role requires deep gross / ceded / net data expertise,
strong reinsurance domain knowledge, and hands-on experience building scalable,
analytics-ready data platforms.
Key Responsibilities
Design end-to-end ceded reinsurance data models across the lifecycle:
- Treaty & facultative placements, layers, limits, participations
- Premium cessions, commissions, reinstatements
- Claims, accruals, recoveries, cash calls, settlements
Define Gross, Ceded, and Net data views with consistent grain across:
- 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
Required Skills & Experience
Ceded Reinsurance Domain (Mandatory)
Strong hands-on experience with:
- Treaty types (QS, Surplus, XoL, Stop Loss) and Facultative reinsurance
- Recoveries, accruals, cash calls, commutations, and credit control
- 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:
- Fivetran for scalable ingestion of reinsurance, finance, and bordereaux
data
- 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
Job Classification
Industry: BPM / BPOFunctional Area / Department: ConsultingRole Category: Other ConsultingRole: Other Consulting - OtherEmployement Type: Full timeContact Details:
Company: InfosysLocation(s): Pune
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