Find Jobs
Find Jobs Near You – Available Work in Your Location
Sr. Data Architect with P&C insurance
Career Insights for Data Architect
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Massachusetts data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Architect develops computer databases for a company or organization. Designs, builds and implements databases and database systems that meet business requirements. Supports database administration, develops database security policies and works to prevent cyber attacks.
$154,989 / year median in Massachusetts
-1% projected decline
Job Description
Sr. Data Architect with P&C insurance at Coforge Sr. Data Architect with P&C insurance at Coforge in NORTH WALTHAM, Massachusetts Posted in about 24 hours ago.
Type:
full-time
Job Title:
Sr. Data Architect with P&C insurance
Skills:
Snowflake, P&C ,
ETL, Python, SQL Experience:
12+ years
Location:
Boston, MA (Hybrid)
Duration:
Fulltime We at Coforge are hiring a Sr. Data Architect with P&C insurance with following skillset : Bachelor's degree in computer science or relevant field from an accredited college or university, required. 3-5- years of experience in data architecture, data engineering, required. Strong data modeling expertise (conceptual, logical, physical). Hands-on experience designing enterprise data architectures. Advanced ELT/ETL development experience (preferably cloud-native). Deep experience with cloud data warehouses, ideally Snowflake. Proficiency in Python for data engineering and automation. Strong SQL skills and experience with large-scale data processing. Experience with data quality frameworks, metadata management, and lineage. Understanding of modern data patterns (CDC, event-driven ingestion, APIs, streaming, orchestration). Experience in the insurance industry, preferred. Snowflake certification, a plus. Familiarity with tools such as DBT, Airflow, Azure Data Factory, or similar. Knowledge of MDM, canonical modeling, and governance frameworks. Experience with Power BI or other BI tools.