CDA Implementation Lead

Dearborn Heights, MI, US • Posted 12 hours ago • Updated 12 hours ago
Contract Corp To Corp
Contract W2
2 Years
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • CDA Implementation Lead

Summary

Hello Professional,

 

Our client is looking CDA Implementation Lead for Long term project in Dearborn, Michigan below is the detailed requirements.

 

Job Title : CDA Implementation Lead

Location : Dearborn, Michigan

 

Job Description:

  • Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 14 Years of relevant experience.
  • 10+ years of experience in data architecture, data engineering, or data platforms
  • 5+ years in Guidewire ecosystem, with hands-on experience in PolicyCenter (PC), BillingCenter (BC) & Guidewire DataHub
  • Lead the design and implementation of the Cloud Data Access (CDA) aligned with enterprise modernization goals
  • Define target-state architecture integrating Guidewire (PC, BC, DataHub) with Cloud data platform (e.g., BigQuery) and Operational data stores (e.g., DynamoDB or equivalent)
  • Own end-to-end Guidewire data architecture, including:PolicyCenter & BillingCenter data models
  • DataHub ingestion and canonical data structures
  • Lead integration patterns between Guidewire and CDA, Event-based ingestion and Batch ETL/ELT pipelines
  • Ensure data consistency, lineage, and governance across Guidewire and enterprise platforms
  • Drive migration of legacy insurance data systems to CDA platform
  • Lead development of modern ELT pipelines replacing legacy ETL tools
  • Implement scalable pipelines using Cloud-native tools (Google Cloud Platform stack preferred)
  • Partner with business teams (underwriting, billing, claims analytics)
  • Strong knowledge of Guidewire data models and integration patterns, DataHub canonical model and ingestion framework
  • Experience with cloud platforms: Google Cloud Platform (strongly preferred), or AWS/Azure
  • Data warehousing (BigQuery or equivalent)
  • Data modeling (OLTP, OLAP, canonical models)
  • ETL/ELT modernization (migration from legacy tools like Informatica)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120137
  • Position Id: 69898-10367-
  • Posted 12 hours ago
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