A major Canadian financial services organization offering a wide range of insurance, investment, and financial planning solutions is currently seeking an experienced BI Architect to support its technology initiatives.

 

This initiative focuses on modernizing Guidewire operational reporting. The existing reports were developed using Actuate BIRT and must be migrated to a modern analytics platform. As part of this transformation, operational reporting will be delivered directly from the enterprise data platform built on Microsoft Azure Databricks, which is refreshed in near real-time. Reports and dashboards will be developed and consumed through Microsoft Fabric and Power BI.

Responsibilities

• Lead the modernization of Guidewire operational reports from Actuate BIRT to the client's target analytics platform based on Microsoft Azure Databricks and Microsoft Fabric.
• Design, develop, and implement cloud-based data pipelines leveraging Databricks Asset Bundles (DAB), Python Wheel components, and data ingestion, transformation, and publishing processes.
• Analyze and convert legacy Oracle SQL queries and stored procedures into optimized Spark SQL implementations for the Databricks ecosystem.
• Transform business logic historically embedded within BIRT reports into reusable data pipelines supporting certified Gold Data Products.
• Develop and maintain the analytics layer within Microsoft Fabric, including:
  • Fabric Lakehouse
  • OneLake Shortcuts
  • Semantic Models
  • Data security and access control
  • Power BI reports and dashboards
• Establish and promote a modern data architecture that supports reusability, governance, performance, scalability, and standardization of analytical assets.
• Collaborate closely with business and technology stakeholders to ensure functional alignment between existing Guidewire reports and newly developed analytical solutions.
• Support testing, validation, and deployment activities while ensuring data quality and reporting accuracy.
• Contribute to best practices, documentation, and continuous improvement initiatives related to data engineering and analytics delivery.

Required Skills and Experience

• Strong experience with Azure Databricks, Spark SQL, and cloud-native data engineering.
• Experience designing and implementing modern data pipelines and ETL/ELT processes.
• Proficiency in Python and SQL development.
• Experience with Microsoft Fabric, including Lakehouse, Semantic Models, and Power BI.
• Strong understanding of data modeling, analytics architecture, and data governance principles.
• Experience migrating legacy reporting solutions to modern cloud-based analytical platforms.
• Ability to collaborate effectively with business and technical teams in an Agile environment.
• Experience with Guidewire reporting environments is considered a strong asset.

Nice-to-Have

• Experience with Actuate BIRT reporting.
• Knowledge of the insurance industry.
• Experience working with Oracle databases and report modernization initiatives.
• Familiarity with DevOps and CI/CD practices in Databricks environments.