Job Summary

Digital Architect(Technical Architect – Data Engineering (Insurance Domain))

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.

Skill Requirements

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

Other Requirements