Solution Architect - GCP

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 (GCP) 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 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.

Requirements:

· Data, Integration, or Solution Architecture experience.

· 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.

· Cloud Platforms

· Google Cloud Platform (GCP)

· BigQuery

· Cloud Storage

· Pub/Sub

· Dataflow

· Dataproc

· Cloud Composer

· Data Engineering

· Python

· PySpark

· SQL

· Spark

· Data Warehousing

· Data Lake Architecture

· ETL/ELT Modernization