Key Responsibilities

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. Data Governance & Regulatory Compliance

- Establish Data Governance, Master Data Management (MDM), and Metadata Management frameworks.

- Define data lineage, cataloging, and data quality standards.

- Ensure compliance with insurance and financial regulatory requirements.

- Implement data security, privacy, retention, and audit controls.

7. Advanced Analytics & AI Enablement

- Design enterprise data foundations supporting AI, ML, and GenAI initiatives.

- Enable data platforms for
- Predictive Analytics

- Fraud Analytics

- Customer Insights

- Claims Intelligence

- AI & GenAI Use Cases

- Support vector databases, knowledge stores, and AI-ready data architectures.

8. DataOps & Automation

- Define CI/CD and DataOps best practices.

- Automate data deployment, monitoring, testing, and operational workflows.

- Establish data platform observability, alerting, and performance monitoring frameworks.

- Drive infrastructure-as-code and platform automation initiatives.

9. Stakeholder Management & Consulting





- Collaborate with business stakeholders, enterprise architects, actuarial teams, and technology leadership.

- Translate business requirements into scalable data architecture solutions.

- Conduct architecture assessments and recommend modernization strategies.

- Support proposal development, solutioning, and client workshops.

10. Leadership & Technical Governance

- Lead and mentor data engineering teams and solution architects.

- Establish enterprise data standards, reusable frameworks, and best practices.

- Drive architecture governance and design review boards.

- Evaluate emerging technologies and lead innovation initiatives.

Mandatory Skills

Data Engineering & Architecture

- Enterprise Data Architecture

- Data Modeling (Conceptual, Logical, Physical)

- Data Lake & Lakehouse Architecture

- ETL/ELT Design

- Data Warehousing

Cloud & Big Data

- Azure Data Platform / AWS / GCP

- Databricks

- Spark

- Kafka

- Snowflake

- Delta Lake

- Synapse Analytics

Programming & Automation

- Python

- SQL

- PySpark

- Scala (Preferred)

- CI/CD Pipelines

- DataOps

Governance

- Data Governance

- Metadata Management

- Master Data Management (MDM)

- Data Lineage

- Data Security & Compliance

Insurance Domain Experience (Mandatory)

Functional Expertise

- Life & Annuities

- Retirement Services

- Health Insurance

- Group Insurance

- Property & Casualty Insurance

- Policy Administration

- Claims Processing

- Underwriting Operations

Preferred Insurance Platforms

- Guidewire

- Duck Creek

- Majesco

- Sapiens

- TIA

📌 Digital Architects (Bengaluru)
🏢 HCL INDIA
📍 Bengaluru