Guidewire Data Architect

Guidewire Software

**
10+ years technical capacity building complex etl
Hands-on apache spark performance tuning experience
Deep understanding of p&c insurance domain concepts
** Guidewire Software is seeking a Data Architect to lead data transformation initiatives within their Data and Analytics team. The ideal candidate will possess extensive experience with ETL frameworks, Apache Spark, and the insurance domain, while promoting a collaborative and innovative work culture. **

Job Summary

  • This role involves participating in a leadership capacity to collaborate with customers and SI Partners on adopting the Guidewire Data Platform.
  • The successful candidate will design, implement, tune, and maintain DataBridge-based ingestion pipelines to meet customer throughput and latency SLAs.
  • Guidewire fosters a culture of curiosity and innovation, empowering teams to leverage emerging technologies and data-driven insights.

Matching Summary

Match Score: 75

** Guidewire Software is seeking a Data Architect to lead data transformation initiatives within their Data and Analytics team. The ideal candidate will possess extensive experience with ETL frameworks, Apache Spark, and the insurance domain, while promoting a collaborative and innovative work culture. **

Skills & Requirements

Must-have

  • 10+ years technical capacity building complex ETL
  • Hands-on Apache Spark performance tuning experience
  • Deep understanding of P&C insurance domain concepts
  • 3+ years leading design review sessions for consensus
  • Experience with Guidewire Data Migration projects

Nice-to-have

  • Previous large scale mainframe migration experience
  • Proven track record in big-data platform roles
  • Familiarity with Change Data Capture frameworks
  • Embrace AI and apply to current role innovation

Key Requirements

  • 10+ years in technical capacity building complex ETL frameworks
  • 5+ years experience with ETL and ELT concepts
  • At least 3 years in leadership capacity for data transformation initiatives
  • Experience integrating data pipelines with enterprise schedulers

Work Rights

Not specified

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