Home Lending Data Architect — GCP/BigQuery, Onsite Day 1

Kaizen Technologies

Charlotte (NC)

Hybrid

USD 160,000 - 200,000

Full time

14 days+

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Job summary

Kaizen Technologies seeks a Solution Architect to lead the architecture, design, and implementation of a Home Lending Data Modernization program. Build a scalable cloud-based data ecosystem on Google Cloud Platform and BigQuery to support FR Y-14M regulatory reporting and enterprise analytics.

The role defines target-state architecture, data model, migration strategy, and governance, partnering with Business, Regulatory Reporting, Data Governance, Controls, Testing, and Product teams to ensure

Qualifications

  • 12+ years of Data, Integration, or Solution Architecture experience.
  • 7+ years architecting large-scale enterprise data platforms.
  • Experience leading cloud modernization programs.
  • Experience within large Banking or Financial Services organizations.
  • Experience supporting FR Y-14M reporting environments.
  • Strong Home Lending and Mortgage domain experience.

Responsibilities

  • Define and own end-to-end solution architecture for the Home Lending data ecosystem.
  • Establish target-state cloud architecture supporting FR Y-14M reporting requirements.
  • Design scalable and resilient GCP-based data platforms supporting regulatory, operational, and analytical workloads.
  • Develop architectural roadmaps supporting modernization and legacy retirement initiatives.
  • Define enterprise architecture standards, patterns, and guidelines.
  • Lead architecture governance reviews and design approvals.

Skills

Cloud Architecture
Enterprise Data Platforms
Regulatory Reporting
Stakeholder Collaboration

Tools

GCP
BigQuery

Job description

Kaizen Technologies seeks a Solution Architect to lead the architecture, design, and implementation of a Home Lending Data Modernization program. Build a scalable cloud-based data ecosystem on Google Cloud Platform and BigQuery to support FR Y-14M regulatory reporting and enterprise analytics.

The role defines target-state architecture, data model, migration strategy, and governance, partnering with Business, Regulatory Reporting, Data Governance, Controls, Testing, and Product teams to ensure

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