Data Architect- Wealth Management

Job Title: Data Architect Wealth Management Duration : 6+ Months Contract Location : Naperville IL Work Mode : Hybrid Position Description Join a collaborative Data & Analytics team building a modern, cloud-native data platform on AWS. In this hands-on architecture role, you will shape the data foundations that power Wealth Management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. Responsibilities

• Design and maintain the end-to-end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS.
• Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships.
• Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization.
• Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage.
• Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks.
• Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data.
• Guide data engineering teams on implementation, review designs, and ensure alignment with the target architecture.
• Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability.
• Support real-time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms.
• Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases.