Technical Architect – Financial Services

Intellibus

Mississauga

On-site

CAD 153,000 - 244,700

Full time

14 days+

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Job summary

A leading company in financial services seeks a Wealth Management Architect to design and implement scalable platforms. The role involves integrating technologies, mentoring teams, and leading best practices to optimize wealth management solutions. Candidates should possess strong technical expertise and leadership experience in fintech.

Qualifications

8+ years of progressive leadership in wealth management technology roles.
Advanced experience with CI/CD and cloud platforms.
Strong knowledge of Java, Python, and REST-based microservices.

Responsibilities

Lead the design of scalable wealth management platforms using Java and Python.
Mentor engineering teams and implement best practices.
Integrate FinTech APIs and ensure low-latency data processing.

Skills

Leadership

Cloud Native Technologies

Java

Python

Microservices

Automation Tools

AI/ML

Blockchain

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

AWS

Azure

GCP

Terraform

Ansible

Job description

Technical Architect – Financial Services

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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.

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