Key Responsibilities
Data & Enterprise Architecture
Define enterprise-wide data architecture strategy aligned with insurance business objectives.
Design scalable, secure, and high-performance data platforms supporting reporting, analytics, AI, and regulatory requirements.
Establish data architecture standards, patterns, and governance frameworks across the organization.
Insurance Data Platform Modernization
Lead modernization of legacy insurance data platforms and data warehouses.
Design cloud-native Data Lake, Lakehouse, and Data Warehouse architectures.
Enable consolidation of policy, claims, underwriting, billing, customer, and financial data into a unified data ecosystem.
Drive enterprise data transformation initiatives supporting digital insurance programs.
Data Engineering & Integration
Architect batch, near real-time, and streaming data pipelines.
Design ETL/ELT frameworks for ingesting data from core insurance systems and external data providers.
Implement scalable and reusable data integration solutions.
Ensure data quality, reconciliation,



validation, and observability across data pipelines.
Insurance Domain Solutions
Design data solutions supporting:
Policy Administration
Claims Management
Underwriting
Customer & Distribution Management
Financial Reporting
Risk & Compliance
Fraud Detection & Analytics
Enable 360-degree customer and policyholder views through integrated data platforms.
Support actuarial, regulatory, and operational reporting requirements.
Cloud & Big Data Architecture
Architect data solutions on Azure, AWS, or GCP platforms.
Design and implement solutions using:
Databricks
Spark
Kafka
Snowflake
Synapse Analytics
BigQuery
Delta Lake
Optimize solutions for scalability, performance, security, and cost efficiency.
Data Governance & Regulatory Compliance
Establish Data Governance, Master Data Management (MDM), and Metadata Management frameworks.
Define data

📌 Digital Architects Bengaluru (India)
🏢 HCL INDIA
📍 India