Description

Insurance domain data architecture (P&C preferred) — hands-on modeling of policy, billing, claims, parties, coverages, and transactions.
Majesco platform data expertise — working knowledge of Majesco Policy/Billing/Claims/Digital1st data models, APIs, and integration patterns.
Enterprise data modeling — creation and maintenance of conceptual, logical, and physical models using standard tools.
Relational databases & SQL — advanced querying and schema design on SQL Server, Oracle, or PostgreSQL.
Data integration architecture — design and oversight of ETL/ELT pipelines for structured/unstructured data.
Cloud data platforms — implementation using Azure, AWS, or GCP data services (at least one).
Data governance & quality — definition of standards, MDM concepts, validation rules, lineage, and remediation processes.
Security & compliance awareness — data protection and regulatory compliance embedded in architecture decisions.
Technical leadership — translate business requirements into scalable data designs; review and enforce standards.
Experience level — 8+ years in data architecture, data modeling, or enterprise architecture.

GOOD-TO-HAVES (NEGOTIABLE)

Azure data stack — Data Factory, Databricks, ADLS, Synapse for large-scale pipelines.
ACORD standards — mapping and alignment to industry reference models.
Modern analytics — pipelines enabling advanced analytics and reporting.
Modernization programs — Majesco transformations or cloud migrations.

REJECTION LIST (DISQUALIFIERS)

Reject if missing: insurance domain data architecture experience.
Reject if missing: Majesco Policy/Billing/Claims data model or integration exposure.
Reject if missing: hands-on enterprise data modeling experience.
Reject if missing: SQL and relational database proficiency.
Reject if missing: data integration/ETL architecture experience.
Reject if missing: data governance and quality implementation

Key Skills

Education

Any Gradute