Data Architect

• Data Architect / Solutions Architect
• Location : Charlotte, NC (3 Days onsite per week)
• W2 Contract

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 (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

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.