Temp to perm for the right candidate.
WM-Data and Application Architect - Job Description
Overview
The Wealth Management Solution Architect is responsible for designing and delivering end-to-end technology solutions that support wealth advisory, client engagement, portfolio management, and operational efficiency. This role partners with business and technology stakeholders to translate strategic objectives into scalable, secure, and compliant architectures across the wealth management ecosystem.
Key Responsibilities
1. Solution Architecture & Design
โข Define end-to-end solution architectures for wealth management platforms, including advisor tools, client portals, and operational systems.
โข Develop architecture blueprints, reference patterns, and roadmaps aligned with enterprise standards.
โข Ensure solutions are scalable, resilient, secure, and cloud enabled.
2. Wealth Management Platform Integration
โข Architect integrations across:
o CRM platforms (e.g., Salesforce FSC)
o Knowledgeable of integration patterns and solution designs including synchronous/asynchronous Web API, Graph API, API Gateways/Management, Messaging, and Event based architectures and streaming technologies.
o Portfolio management and trading systems
o Financial planning tools
o Client onboarding/KYC platforms
โข Enable seamless data flow across front, middle, and back-office systems.
3. Digital & Client Experience Enablement
โข Design solutions supporting omnichannel client engagement (web, mobile, Conversational AI, advisor-assisted).
โข Enable personalized client experiences through data-driven insights.
โข Support modernization of advisor desktop and digital workplace tools.
4. Data & Analytics Architecture
โข Define architecture for:
o Client data platforms and 360ยฐ views
o Investment analytics and reporting
o Data governance and lineage
โข Collaborate with data teams on data lakes, warehouses, and real-time data streaming using Databricks, Snowflake, and Azure Data Fabric to build scalable and reusable solutions.
o Define patterns for:
โข Data quality, lineage, and governance
โข Data partitioning, performance optimization, and cost efficiency
5. AI, Automation & Innovation
โข Integrate AI/ML capabilities:
o Advisor assist (Copilot, recommendations)
o Predictive analytics (client segmentation, next-best action)
o Document automation and workflow orchestration
โข Identify and drive automation opportunities across wealth operations.
โข Collaborate with business and technical stakeholders to translate real-world research and workflow needs into AI-powered solutions that are measurable, reliable, and safe in production.
โข Knowledge of multi-agent workflows (planner/supervisor + specialist agents) with explicit state management and routing, and interoperability via emerging agent protocols (MCP for tool integration, A2A for agent-to-agent delegation) designed for non-deterministic behavior and real operational constraints.
6. Security, Risk & Compliance
โข Ensure adherence to financial services regulations (SEC, FINRA, GDPR).
โข Incorporate data privacy, cybersecurity, and identity/access controls in all solutions.
โข Partner with risk and compliance teams on governance
โข Knowledge, background, understanding of fundamental security concepts including data encryption, AuthN/AuthZ, SSO, and managed identities.
7. Delivery Oversight & Governance
โข Provide architecture oversight across programs and projects.
โข Participate in Architecture Review Boards (ARB), ARC, and design reviews.
โข Ensure adherence to enterprise architecture standards and best practices.
8. Technology Ecosystem & Integration
โข Define integration approaches using:
o APIs and microservices
o Event-driven architecture
o Middleware and integration platforms
โข Align solutions with cloud strategy (Azure/AWS), DevSecOps, and platform engineering.
Required Qualifications
Education & Experience
โข Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field
โข 10+ years of experience in solution or enterprise architecture
โข Proven experience in wealth management or financial services domain
Technical Expertise
โข CRM platforms (Salesforce Financial Services Cloud preferred)
โข Cloud platforms (Azure preferred; AWS/GCP acceptable)
โข API/microservices architecture and integration patterns
โข Data platforms (data lake-Databricks, warehouse, real-time streaming)
โข AI Technologies - Azure Foundry, Claude, Open AI
โข Security and identity frameworks
Domain Expertise
โข Deep understanding of:
o Wealth advisory lifecycle
o Retirement lifecycle
o Investment products (equities, fixed income, mutual funds, annuities)
o Client onboarding, servicing, and reporting workflows
Preferred Qualifications
โข Experience with AI/GenAI solutions (Copilot, NLP, recommendation engines)
โข Familiarity with advisor workstation modernization and digital workplace tools
โข Knowledge of contact center platforms (e.g., Genesys)
โข Industry certifications (TOGAF, Azure Architect, etc.)
Key Competencies
โข Strategic and systems thinking
โข Strong stakeholder engagement and executive communication
โข Business-technology alignment
โข Innovation mindset with focus on AI and automation
โข Problem-solving and decision-making