

Java Solutions Architect – Wealth Management
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Java Solutions Architect – Wealth Management, offering a contract length of "unknown" and a pay rate of "unknown." Candidates should have 8+ years of leadership experience in wealth management, expertise in Java/Python, and relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Automation #GCP (Google Cloud Platform) #Data Science #REST (Representational State Transfer) #AI (Artificial Intelligence) #ML (Machine Learning) #Code Reviews #Terraform #Programming #Databases #Python #Cloud #Ansible #AWS (Amazon Web Services) #Spring Boot #Snowflake #DevOps #Java #Scala #Azure #NLP (Natural Language Processing) #Pandas #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #Data Processing #Data Pipeline #Security #Microservices #Django #Leadership #Computer Science
Role description
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Our Wealth Management Technology Team is dedicated to addressing the unique challenges faced by some of the world’s most prestigious financial institutions. We specialize in delivering innovative solutions for portfolio optimization, seamless platform integration, and scaling capabilities that empower advisors and clients alike. Our recent advancements have redefined client engagement and operational efficiency, driving transformative outcomes in the wealth management sector.
We are looking for a Wealth Management Architect with a strong background in Wealth Management to build and scale a comprehensive technical practice. You will lead the design and implementation of our core review processes, automation roadmap, and checklist management that ensure consistent, high-quality platform assessments and delivery across projects. The Practice Leader will oversee capacity planning, resource allocation, and engagement processes to streamline technical reviews and create value across the organization.
We are looking for a leader who can:
• Design and implement high-performance, scalable wealth management platforms using Java, Python, and cloud-native technologies (AWS/Azure/GCP).
• Architect microservices-based solutions for portfolio analytics, client onboarding, and trading systems.
• Integrate FinTech APIs (e.g., Bloomberg, Reuters, Plaid) and third-party custodial/payment systems.
• Ensure low-latency data processing for real-time risk assessment and rebalancing algorithms.
• Lead code reviews, system optimizations, and adoption of best practices (TDD, CI/CD, DevOps).
• Mentor engineering teams in Java/Python frameworks (Spring Boot, Django, Pandas) and event-driven architectures (Kafka, RabbitMQ).
• Collaborate with quant analysts and data scientists to deploy AI/ML models for personalized financial advice.
• Evaluate and integrate emerging technologies (blockchain for asset tokenization, NLP for client chatbots, robo-advisory tools).
• Optimize data pipelines for client reporting, performance analytics, and regulatory disclosures.
• Enhance security frameworks (OAuth, encryption, Zero Trust) to protect sensitive financial data.
Qualifications and Experience:
• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• Leadership Experience: 8+ years of progressive leadership in technology roles within the wealth management, fintech, or financial services industry.
• Technical Expertise:
• Advanced experience with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and automation tools (e.g., Terraform, Ansible).
• Strong knowledge of programming languages such as Java and Python.
• Expertise in REST-based microservices, Kafka for real-time data streaming, and Snowflake & relational databases.
• Certifications: Relevant certifications (e.g., AWS Certified DevOps Engineer, CISSP) are highly valued.
• Innovation Skills: Proven ability to explore and implement new technologies such as AI, machine learning, blockchain, and data analytics.
• Startup Experience: Previous experience in high-growth or startup environments with adaptability to scaling demands.
Our Process
• Schedule a 15 min Video Call with someone from our Team
• 4 Proctored GQ Tests (60 - 90 Minutes) & Slideware
• 30-45 min Final Video Interview
• Receive Job Offer
If you are interested in reaching out to us, please apply and our team will contact you within the hour.