CDA Implementation Lead

Dearborn, MI, US • Posted 6 hours ago • Updated 6 hours ago
Contract Corp To Corp
Contract W2
12 Months
On-site
Depends on Experience
Fitment

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  • CDA Implementation Lead

Summary

We are looking for CDA Implementation Lead for our client in Dearborn, MI

Job Title: CDA Implementation Lead

Job Location: Dearborn, MI

Job Type: Contract

Job Overview:

Requirement/Must Have:

  • 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), and Guidewire DataHub.

Responsibilities:

  • 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 platforms and operational data stores.
  • Ensure architecture supports high scalability and performance, real-time and batch data processing, and advanced analytics and reporting.
  • Own end-to-end Guidewire data architecture, including PolicyCenter & BillingCenter data models and DataHub ingestion.
  • Lead integration patterns between Guidewire and CDA, ensuring data consistency, lineage, and governance.
  • Drive migration of legacy insurance data systems to CDA platform, overseeing data profiling, cleansing, and transformation.
  • Lead development of modern ELT pipelines replacing legacy ETL tools, implementing scalable pipelines using cloud-native tools.
  • Act as the technical lead across cross-functional teams, managing delivery roadmap and milestones.
  • Partner with business teams, enterprise architecture teams, and vendor partners to translate business requirements into scalable data solutions.

Skills:

  • Strong knowledge of Guidewire data models and integration patterns.
  • Experience with cloud platforms such as Google Cloud Platform, AWS, or Azure.
  • Expertise in data warehousing and data modeling.
  • Proficiency in SQL and large-scale data processing.

Qualification And Education:

  • Strong knowledge of DataHub canonical model and ingestion framework.
  • Experience with data migration strategies and data quality frameworks.
  • Familiarity with metadata and lineage tools.
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: 10516350
  • Position Id: MI_CDIL_0701
  • Posted 6 hours ago
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