Building a Next-Generation Wealth Management Data Platform  

Wealth Advisors Work in Real Time. Their Data Didn't.

The wealth management landscape is facing fundamental shifts: generational wealth transfer, evolving advisor business models, and increasing demand for personalized, data-driven client engagement at scale. Most wealth management firms run on data infrastructure built for a different era. The largest independent broker-dealer in the United States — supporting 28,000 financial advisors and approximately $1.8 trillion in brokerage and advisory assets — was no exception.  

Advisor-facing tools, client portfolio systems, transaction data, and account information were scattered across more than 50 proprietary and third-party applications. Advisors couldn't run real-time suitability assessments or identify portfolio rebalancing opportunities without navigating fragmented systems. Consolidated client reporting — a requirement under SEC and FINRA obligations — was a manual lift.  

The core problem was structural: no unified data foundation capable of supporting enterprise-scale wealth management workflows. No data pipeline with the fault tolerance to process billions of financial records daily. No real-time data layer to enable proactive risk profiling or AI-driven insights. Nothing built to support fiduciary responsibilities and regulatory obligations at scale.

The firm engaged Perficient to build a next-generation advisor platform. They envisioned a unified wealth management data platform on AWS that consolidates advisor, client, transaction, and account data into a single source of truth — supporting real-time analytics, SEC and FINRA regulatory reporting, and AI-driven advisor productivity at enterprise scale. 

One Data Foundation. Real-Time Workflows. Enterprise-Scale Compliance.  

We designed and delivered a real-time wealth management data fabric and API architecture on AWS. The platform connects more than 50 proprietary and third-party applications into a unified data architecture, consolidating client portfolio positions, transaction records, account data, and advisor activity into a centralized repository.  

What the architecture looks like:

• Amazon MWAA (Apache Airflow) provides the orchestration layer, replacing fragmented multi‑hop pipelines with a fault‑tolerant, fully automated workflow engine featuring deterministic success/failure status and automated alerting — critical for advisor compliance reporting and client statement generation.  
• AWS Glue performs ETL transformation across the data pipeline.  
• Amazon Redshift serves as the high-performance analytical data warehouse for advisor performance reporting and consolidated client analytics.  
• Amazon DynamoDB powers the client reference data layer for low-latency, real-time access to advisor and client profiles during active advisory sessions.
• AI-in-stream capabilities deliver proactive risk profiling and advisor insight generation based on real-time portfolio positions, market dynamics, and client activity — supporting the suitability determination and risk assessment workflows that are core to the firm’s fiduciary obligations under SEC and FINRA regulations.  
• S3 cross-region replication and Redshift cross-region snapshots ensure data availability and regulatory data retention compliance across all advisor and client records.  
• The entire solution is deployed on AWS in US-East (N. Virginia), with all financial data strictly confined to U.S. regions to meet broker-dealer data sovereignty requirements.

The result is a platform purpose-built for the data governance, regulatory reporting, and advisor workflow requirements of a FINRA-registered broker-dealer and SEC-registered investment adviser operating at enterprise scale. 

1.2 Billion Records. 15 Billion Data Values. Every Single Day.

The platform processes 1.2 billion records and 15 billion data values daily. It supports real-time advisor and client portfolio analytics at a scale the fragmented legacy pipeline couldn't deliver. The unified data foundation connects more than 50 applications into a single source of truth for client portfolio positions, transaction history, account data, and advisor activity — enabling the consolidated reporting and advisor performance measurement required under FINRA member obligations.  

Fully automated, fault-tolerant pipelines with deterministic success/failure status and automated alerting eliminate the manual error detection that characterized the legacy environment, ensuring data integrity for advisor compliance reporting. AI-driven risk profiling and real-time suitability assessments provide proactive regulatory compliance support at scale, while cross-region data resilience preserves all advisor and client financial records in compliance with SEC Rule 17a-4.

That's the difference between data infrastructure from the last era of wealth management and one built for what's next.