Data Architect- Solutions Architect Charlotte, NC 3 days/week onsite (Need local candidates)
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.
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 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.
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 (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
Integration Technologies
- Batch Processing
- CDC (Change Data Capture)
- Event-Driven Architecture
- Streaming Data Pipelines
- REST APIs
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