Guidewire Data Architect - Databricks | P&C Insurance

Compunnel

$120K — $150K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data architecture
  • Strong expertise in Property & Casualty Insurance
  • Hands-on knowledge of Guidewire Data and Databricks
  • Proficient in cloud-native data solutions on Azure and Databricks
  • Experience with Databricks, PySpark, and Azure Data Factory
  • Familiarity with Data Warehousing, BI, Analytics, ETL/ELT, and Kafka
  • Ability to build Databricks CI/CD pipelines with Azure DevOps

Responsibilities

  • Integrate Guidewire data into Databricks using CDA and other mechanisms
  • Implement end-to-end cloud-native data solutions
  • Develop data architecture and modernization strategies
  • Governance of data and migration from on-premises to the cloud
  • Utilize Databricks, PySpark and Azure Data Factory effectively
  • Construct Databricks CI/CD pipelines using Azure DevOps
  • Identify opportunities for AI and advanced analytics with enterprise data

Benefits

  • Opportunities for professional development and certification
  • Access to cutting-edge technology and tools
  • Collaborative work environment with innovative thinkers
  • Flexible working arrangements
  • Health and wellness programs
Full Job Description
JOB SUMMARY We are looking for a Guidewire Data Architect - Databricks with 10+ years of experience, strong P&C Insurance domain expertise, and hands-on experience with Guidewire Data and Databricks. Key Responsibilities Strong experience with Guidewire Data Model and integrating Guidewire data into Databricks using CDA and other mechanisms. 4+ years of experience implementing end-to-end cloud-native data solutions using Azure and Databricks. Strong experience with Databricks, PySpark, Azure Data Factory, and modern data platforms. Experience in data architecture, data modernization, data governance, and migrating on-premises platforms to the cloud. Good understanding of Data Warehousing, BI, Analytics, ETL/ELT, and Kafka. Experience building Databricks CI/CD pipelines using Azure DevOps. Knowledge of Data Mesh, Data Products, DataOps/MLOps is an added advantage. Forward-thinking mindset with the ability to identify AI and advanced analytics opportunities using enterprise data. Required Qualifications 10+ years of experience Strong P&C Insurance domain expertise Hands-on experience with Guidewire Data and Databricks Strong experience with Guidewire Data Model and integrating Guidewire data into Databricks using CDA and other mechanisms 4+ years of experience implementing end-to-end cloud-native data solutions using Azure and Databricks Strong experience with Databricks, PySpark, Azure Data Factory, and modern data platforms Experience in data architecture, data modernization, data governance, and migrating on-premises platforms to the cloud Good understanding of Data Warehousing, BI, Analytics, ETL/ELT, and Kafka Experience building Databricks CI/CD pipelines using Azure DevOps Preferred Qualifications Knowledge of Data Mesh, Data Products, DataOps/MLOps Forward-thinking mindset with the ability to identify AI and advanced analytics opportunities using enterprise data

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