What are the responsibilities and job description for the Solution Architect Home Lending Data Modernization position at Kaizen Technologies?
Job Description:
The Solution Architect will lead the architecture, design, and implementation of a strategic Home Lending Data Modernization Program focused on establishing a scalable cloud-based data ecosystem supporting FR Y-14M regulatory reporting, enterprise analytics, and self-service data consumption. This role is responsible for defining the target-state architecture, foundational Home Lending data model, cloud migration strategy, integration architecture, and governance framework while ensuring successful migration from legacy and non-strategic platforms. The Solution Architect will partner closely with Business, Regulatory Reporting, Data Engineering, Data Governance, Controls, Testing, and Product teams to deliver a modern Google Cloud Platform (Google Cloud Platform) and BigQuery-based ecosystem that improves data quality, reduces operational complexity, automates controls, and enhances regulatory data traceability.
The Role
Responsibilities:
- Architecture Strategy & Solution Design
- 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 Google Cloud Platform-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.
Requirements:
- 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.
Technical Skills
Cloud Platforms
- Google Cloud Platform (Google Cloud Platform)
- BigQuery
- Cloud Storage
- Pub/Sub
- Dataflow
- Dataproc
- Cloud Composer
Data Engineering
- Python
- PySpark
- SQL
- Spark
- Data Warehousing
- Data Lake Architecture
- ETL/ELT Modernization