Jobs → Data & Analytics → Data Architect

About the Role We are seeking a Data Architect with experience in P&C insurance to join our team. This role involves designing and implementing enterprise data architectures and solutions. Key Responsibilities • Design and implement enterprise data architectures • Develop advanced ELT/ETL solutions, preferably cloud-native • Apply strong data modeling expertise across conceptual, logical, and physical levels • Utilize Databricks, Python, PySpark, and SQL for data engineering and automation • Ensure data quality through frameworks, metadata management, and lineage • Apply knowledge of modern data patterns including CDC, event-driven ingestion, APIs, streaming, and orchestration Requirements • Bachelor’s degree in computer science or relevant field • 3-5 years of experience in data architecture and data engineering • Strong data modeling expertise • Hands-on experience designing enterprise data architectures • Advanced ELT/ETL development experience • Strong experience in Databricks and Python, PySpark • 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 • 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