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Role : Guidewire Sr Data Architect

Location: Remote

Skills : Azure, Pyspark, Guidewire and Guidewire Cloud Data Access (CDA)

Responsibilities:

• Guidewire CDA Integration: Utilize Guidewire Cloud Data Access (CDA) to extract, transform, and load (ETL) Guidewire data into downstream systems, ensuring data availability for reporting and analytics.
• Data Pipelines & ETL Development: Design, build, and maintain scalable and efficient ETL pipelines that integrate Guidewire data with data warehouses, data lakes, and other enterprise systems.
• Data Modeling & Architecture: Work closely with Data Architects to develop, optimize, and manage Guidewire data models and schema, ensuring high performance and scalability.
• Cloud Integration: Implement cloud-based data engineering solutions using platforms like Azure ensuring smooth integration of Guidewire data with cloud services.
• Data Quality & Governance: Ensure data integrity, accuracy, and compliance with data governance standards across all Guidewire-related data pipelines and integrations.
• Performance Tuning & Optimization: Optimize data processing workflows and queries to ensure high performance, minimizing delays in data availability.
• Collaboration: Collaborate with business analysts, data architects, and other IT teams to translate business requirements into effective data engineering solutions.
• Automation: Build and maintain automation processes for regular data loads, ensuring reliable data ingestion and processing with minimal manual intervention.
• Documentation & Best Practices: Maintain clear documentation of data engineering processes, data flows, and pipeline architecture, while adhering to industry best practices.

Technical Skills:

• 10+ years of experience in data engineering or a similar role.
• 3+ years of experience with Guidewire Insurance Suite (PolicyCenter, BillingCenter, ClaimCenter).
• 2+ years of hands-on experience with Guidewire Cloud Data Access (CDA) for data extraction and integration.
• Proven experience in building ETL pipelines and integrating Guidewire data with cloud-based and on-premises systems.
• Strong SQL and PL/SQL skills for querying and transforming Guidewire data.
• Proficiency with data integration and ETL tools such as Informatica, PySpark etc.
• Experience with Azure cloud platforms for data storage, processing, and integration.
• Familiarity with big data technologies and modern data architecture.
• Hands-on experience with APIs and microservices for data integration.
• Knowledge of version control systems (e.g., Git) and CI/CD practices for automating data workflows.