Description

Key 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.

Home Lending Data Architecture

• Define foundational Home Lending enterprise data models.
• Establish canonical data structures supporting mortgage origination, servicing, loan performance, customer, collateral, property, and delinquency domains.
• Ensure standardized data definitions, business rules, and data lineage across the ecosystem.
• Align data architecture with business and regulatory reporting requirements.
• Establish reusable data domains and common data services.

Cloud Modernization & Migration

• Lead modernization of legacy platforms and data processing frameworks.
• Define migration approach for legacy technologies including:
  • Ab Initio
  • SAS
  • Teradata
  • Legacy ETL applications
• Design migration patterns for cloud-native implementation.
• Define data onboarding standards and implementation methodologies.
• Support application rationalization and technology simplification initiatives.

Data Integration & Engineering Architecture

• Define ingestion, transformation, and consumption architecture.
• Design batch, CDC, and streaming architectures.
• Establish scalable integration patterns utilizing:
  • Dataflow
  • Pub/Sub
  • Dataproc
  • BigQuery
• Review engineering designs and implementation approaches.
• Ensure optimal scalability, performance, and reliability.

Metadata, Lineage & Governance

• Establish enterprise metadata and lineage framework.
• Define end-to-end data traceability standards supporting FR Y-14M reporting.
• Ensure source-to-target lineage documentation.
• Support Data Governance and Data Quality initiatives.
• Enable audit-ready documentation and reporting capabilities.

Controls & Automation

• Define framework for automated data quality controls.
• Establish reconciliation architecture and validation processes.
• Support implementation of automated monitoring and exception management capabilities.
• Ensure control coverage throughout ingestion, transformation, and reporting layers.

Stakeholder Management

• Collaborate with:
  • Regulatory Reporting Teams
  • Home Lending Business Teams
  • Product Owners
  • Data Governance
  • Technology Leadership
  • Risk and Audit Partners
• Present architecture recommendations and technical roadmaps.
• Provide architectural leadership across multiple delivery teams.

Required Skills & Experience

Experience

• 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 (GCP)
• BigQuery
• Cloud Storage
• Pub/Sub
• Dataflow
• Dataproc
• Cloud Composer

Data Engineering

• Python
• PySpark
• SQL
• Spark
• Data Warehousing
• Data Lake Architecture
• ETL/ELT Modernization

Integration Technologies

• Batch Processing
• CDC (Change Data Capture)
• Event-Driven Architecture
• Streaming Data Pipelines
• REST APIs

Legacy Technologies

• Ab Initio
• SAS
• Teradata
• Legacy Data Warehouse Platforms

Governance & Data Management

• Metadata Management
• Data Lineage
• Data Catalog
• Data Quality Frameworks
• Source-to-Target Mapping
• Data Governance

Domain Knowledge

Home Lending

Strong understanding of:

Key Skills

Education

Bachelor's degree