15+ Google Cloud Platform Data Architect / Solutions Architect (Charlotte, NC)

Job Description:

The Role:

Google Cloud Platform Data Architect / Solutions Architect (Banking/ Financial Domain with Google Cloud Platform) in Charlotte, NC (Need Onsite day 1, hybrid 3 days from office).

We are seeking an experienced Data Architect / Solutions Architect with strong expertise in designing enterprise-scale data and technology solutions within the Banking and Mortgage domain. The ideal candidate will lead architecture initiatives, define data strategies, and deliver scalable solutions that support business objectives.

The Role

Responsibilities:

• Design and implement enterprise data architecture and solution architecture for banking and mortgage applications.
• Define data models, data governance standards, data integration frameworks, and architecture roadmaps.
• Collaborate with business stakeholders, product owners, and technology teams to translate business requirements into scalable technical solutions.
• Lead data modernization and cloud transformation initiatives.
• Establish best practices for data quality, metadata management, security, and regulatory compliance.
• Support risk, finance, and reporting initiatives, including regulatory reporting requirements.
• Review current systems and recommend improvements to optimize performance, scalability, and reliability.
• Provide architectural guidance to development, data engineering, and analytics teams.
• Ensure alignment with enterprise architecture standards and banking regulatory requirements.

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/ Knowledge 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

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

Preferred, but not required:

• TOGAF Certification.
• Experience with FR Y-14, CCAR, regulatory reporting, or risk reporting initiatives.
• Google Cloud Professional Architect Certification.
• Experience implementing enterprise data mesh or lakehouse architectures.
• Experience supporting large-scale Home Lending transformation initiatives.
• Experience implementing metadata and lineage solutions.
• Experience designing self-service analytics platforms