Description

You will define and own end-to-end solution architecture for the Home Lending data ecosystem, focusing on GCP-based platforms for FR Y-14M reporting and regulatory workloads.

This role is remote.

Responsibilities

• Design scalable cloud architecture and modernization roadmaps for legacy platforms including Ab Initio, SAS, Teradata, and legacy ETL.
• Define foundational enterprise data models for mortgage origination, servicing, and loan performance domains.
• Architect data ingestion and integration patterns using Dataflow, Pub/Sub, and Dataproc for batch, CDC, and streaming workloads.
• Establish metadata, lineage, and data quality frameworks to ensure audit-ready documentation and source-to-target traceability.
• Lead architecture governance reviews, design approvals, and stakeholder collaboration with regulatory and business teams.

Required Skills

• 12+ years of Data, Integration, or Solution Architecture experience.
• 7+ years architecting large-scale enterprise data platforms.
• Strong experience with Google Cloud Platform: BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Cloud Composer.
• Proficiency in Python, PySpark, SQL, and Spark for data engineering.
• Experience with ETL/ELT modernization, data warehousing, and data lake architecture.
• Knowledge of batch processing, CDC, event-driven architecture, and REST APIs.
• Experience in large Banking or Financial Services organizations with Home Lending/Mortgage domain expertise.
• Familiarity with FR Y-14M reporting requirements and data governance standards.

Preferred Skills

• Experience leading cloud modernization programs and legacy technology retirement.
• Strong understanding of metadata management, data lineage, and data quality frameworks.

Key Skills

Education

Bachelor's degree