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    Job · 13166776

    BENGALURU · FULLTIME

    Snowflake Data Architect

    Infosys logo

    Infosys

    Bengaluru · onsite · Posted 60d ago

    Sourced fromFoundit
    Not disclosedFresherfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    • 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
    • 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.

    Sourced from foundit

    Section · 02

    Skills

    Cash callscommutationsGross CededNet actuarial and financial viewsTreaty typesData Architecture TechnologyQS SurplusRegulatory QMA reportingTrianglesUltimatesApache Kafkafivetranadvanced sqlamazon web servicesAccrualsCloud Data PlatformsXoLDatabricksRecoveriesPythonPower BiTableauPhysical Data ModelingStoplossSnowflakeMicrosoft AzureFacultative reinsuranceCredit Control

    Section · Company

    About Infosys

    Infosys logo

    Infosys

    IT Services & Consulting

    323.6k+

    employees

    1981

    45 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Infosys is a global leader in next-generation digital services and consulting.

    Industries

    IT Services & ConsultingConsulting

    Employee ratings

    48,765 reviews

    3.5/ 5

    Culture

    3.6

    Career growth

    2.6

    Work-life

    3.6

    Employees rate it well for

    Salary10252Work Life Balance6251Work Culture5404Learning4530Appraisal3780

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    Snowflake Data Architect · waiting for your command