About Position:

We are seeking a Senior Data Architect to design and modernize data platforms across personal insurance lines, specifically Automobile, Personal, and Homeowners insurance. You will lead the modern migration of legacy core systems Mainframe and DB2 into a high-performance Duck Creek cloud ecosystem. Your primary focus will be architecting data solutions using Snowflake, PostgreSQL, and Python, with a specific emphasis on Duck Creek Clarity policy, billing, and claims data models. You will establish robust Data Quality (DQ) frameworks to ensure accurate underwriting analytics, risk profiling, and regulatory reporting.

Role: Data Architect
Location: All Persistent Locations
Experience: 10+yrs
Job Type: Full-Time Employment

What You'll Do:

Multi-Line Integration: Architect data models that unify distinct data streams across Auto (vehicle telematics, driving history) and Homeowners (property risk, geographic data) lines of business.
Duck Creek Integration: Design and manage ingestion pipelines from Duck Creek Clarity to extract, transform,



and load comprehensive policy, billing, and claims workflows.
Data Migration: Lead complex migration strategies transferring high-volume personal lines historical data from legacy mainframes or relational databases to up-to-date cloud platforms.
Data Quality Frameworks: Establish automated DQ rules and profiling to ensure pristine financial reporting, accurate loss-ratio calculations, and claims tracking.
Pipeline Development: Build efficient, reusable data ingestion and transformation pipelines using Python and SQL.
Predictive Analytics Support: Partner with Actuarial and Underwriting teams to structure data for pricing models, geographic hazard mapping, and customer lifetime value analytics.

Expertise You'll Bring:

Insurance Expertise: Minimum 5+ years of experience working specifically with Personal Lines data (Automobile, Homeowners, Personal Property).
Duck Creek Clarity: Deep structural understanding of Duck Cre

📌 Data Architect (Pune)
🏢 Persistent Systems
📍 Pune