Data Architect

Data Architect – Insurance (Life & General Insurance)

Location: Mumbai / Pune

Work Mode: Hybrid

Experience: 10–18 years

Employment Type: Full-Time

About

the Role

We are seeking an

experienced and hands-on Data Architect with deep expertise in Insurance data

models across both Life Insurance and General Insurance domains. The ideal

candidate will have extensive experience designing enterprise data

architectures, insurance canonical data models, integration architectures, and

analytical data platforms.

This role requires strong technical capabilities

combined with domain expertise to define, govern, and implement scalable

insurance data solutions across policy administration, underwriting, claims,

billing, customer, and distribution systems.

Key Responsibilities

Data

Architecture & Design

·      Define and

maintain enterprise data architecture and target-state data models for

insurance platforms.

·      Design and

implement data architectures that support Artificial Intelligence, Machine

Learning, and Generative AI use cases.

·      Design

conceptual, logical, and physical data models for Life and General Insurance

businesses.

·      Develop and

maintain canonical insurance data models across applications and business

domains.

·      Design

semantic data models and knowledge structures to improve discoverability and AI

usability of enterprise data.

·      Define

strategies for preparing insurance data assets for AI-driven analytics and

intelligent automation.

Insurance

Domain Architecture

·      Design data

models covering all key functional areas in Insurance from Policy to

Reinsurance

·      Understand

insurance concepts including:

o  Policy lifecycle

o  Coverage and benefits

o  Premium and billing structures

o  Claims lifecycle

o  Risk and underwriting data

o  Regulatory reporting requirements

Data Integration & Modern Data

Platforms

·      Design data

integration patterns across core insurance systems, digital platforms, APIs,

and external partners.

·      Define

enterprise canonical models and API data contracts.

·      Architect data

solutions for cloud data platforms and analytical ecosystems.

·      Support

real-time, event-driven, and batch data integration architectures.

·      Collaborate

with application, integration, and enterprise architects.

Retrieval and Knowledge

Architectures

·      Experience

designing data architectures that support:

o  Retrieval-Augmented Generation (RAG)

o  Vector databases and embeddings

o  Metadata-driven information retrieval

·      Understanding

of approaches for combining structured insurance data with documents,

correspondence, policy wordings, claims documents, and underwriting content.

Agentic AI and

Intelligent Systems

·      Familiarity

with Agentic AI concepts and AI agents that can consume enterprise APIs and

data services.

·      Understanding

of how insurance data models and APIs can enable autonomous or semi-autonomous

business agents.

·      Awareness of

Model Context Protocol (MCP), tool-based AI integrations, and AI orchestration

concepts is desirable.

Data

Governance & Quality

·      Establish data

governance frameworks and data quality standards.

·      Define data

lineage, ownership, stewardship, and metadata management practices.

·      Support

regulatory compliance and audit requirements.

·      Drive data

quality initiatives across business and technology teams.

Stakeholder Engagement

·      Work closely

with business teams, architects, delivery teams, and external partners.

·      Conduct data

model reviews and architecture governance sessions.

·      Mentor

development and data engineering teams on best practices.

·      Support

pre-sales, solutioning, and transformation initiatives where required.

Required

Experience

·      10+ years of

experience in Data Architecture, Data Modeling, or Enterprise Data Management.

·      Minimum 5

years of experience in the Insurance industry.

·      Strong

knowledge of both Life Insurance and General Insurance business domains.

·      Hands-on

experience creating conceptual, logical, and physical data models.

·      Experience

designing canonical data models and enterprise data architectures.

·      Strong SQL and

database design skills.

·      Experience

with relational and analytical databases.

Preferred Technical Skills

·      Data Modeling

Tools (Erwin,ER/Studio/Sparx EA/PowerDesigner)

·      Databases (

Oracle/SQL Server/PostgreSQL/Snowflake)

·      Cloud

Platforms (AWS/Azure/GCP)

·      Data

Technologies:

o  Data Warehousing

o  Data Lakes

o  ETL/ELT tools

o  API-based integrations

o  Event-driven architectures

·      Standards and

Frameworks:

o  Data Governance

o  Master Data Management

o  Metadata Management

o  Data Quality Frameworks

·      Understanding

of Large Language Models (LLMs) and Generative AI concepts.

·      Familiarity

with semantic search and embeddings.

·      Knowledge of

knowledge graphs and semantic models

Preferred Industry Exposure

Experience working with

one or more of the following:

·      Core Insurance

Platforms

·      Insurance

Integration Platforms

·      Regulatory and

Reporting Systems

Educational Qualifications

·      Bachelor's

degree in Engineering, Computer Science, Information Technology, or related

field.

·      Master's

degree is preferred.

·      Relevant

certifications in Data Architecture, Cloud Platforms, or Data Management are

advantageous.

Personal Attributes

·      Strong

analytical and problem-solving skills.

·      Excellent

communication and stakeholder management abilities.

·      Ability to

work across business and technology teams.

·      Hands-on

approach with willingness to work on detailed data models and solution design.

·      Ability to

lead architecture discussions and mentor teams.