Data Architect

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 modern 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 Creek Clarity schemas, transactional databases, and operational data stores.
Cloud Data Warehousing: Expert-level design experience with Snowflake, including data sharing, clustering, and cost optimization.
Relational Databases: Strong mastery of PostgreSQL implementation, indexing, and complex query optimization.
Programming: Advanced proficiency in Python for data manipulation, scripting, data loading to Duck Creek and ETL frameworks.
Data Migration Experience: Proven track record of handling large-scale core system migrations with zero data loss.
Data Quality Tools: Experience with DQ frameworks using custom Python/PostgreSQL-based validations.
Bachelor’s degree in data Analytics, Computer Science, Information Systems, or a related field.
Benefits:
Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let’s unleash your full potential at Persistent - persistent.com/careers
“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Work arrangement
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