Technical Architect — Java / Cloud & AI — Montreal

Abbeal; Montreal; On-site; CAD 120,000 - 160,000; Full time

Job summary

Abbeal SAS is seeking a Senior Technical Architect to define the data model and storage strategy for the next generation of regulatory reporting tools in a Montreal-based hybrid, long-term engagement. The role focuses on cloud and AI-enabled solutions, data governance, and scalable architectures.

You will lead the evaluation of the stack, design governance for AI-driven components, and outline a cloud migration roadmap aligned with performance targets.

Qualifications

• 10+ years in technical architecture.
• Experience in data modeling and databases (Oracle, MSSQL, PostgreSQL).
• Cloud architecture expertise (AWS, IBM Cloud, GCP) and model governance.
• Knowledge of responsible AI practices and governance.

Responsibilities

• Define data model and storage strategy for the new reporting platform.
• Evaluate and standardize the tech stack across cloud and on-prem components.
• Run performance and load testing to ensure scalability.
• Document the cloud migration roadmap and governance processes.

Skills

Technical architecture

Data modeling

Cloud architecture

Responsible AI governance

Tools

Oracle

MSSQL

PostgreSQL

AWS

IBM Cloud

GCP

Angular 17+

Spring Boot

Python (FastAPI/Django)

Node.js

Kafka

Spark

Airflow

Camunda

Job description

Technical Architect — Java / Cloud & AI — Montreal

A major bank is looking for a senior technical architect to define the next generation of its regulatory reporting stack, spanning cloud and AI. Long-term engagement, Montreal.

A major bank is launching a proof of concept and market study for the next generation of its regulatory reporting tool, and is looking for a senior technical architect.

Context

The project defines the data model, storage strategy and processing pipelines for the next reporting platform, incorporating responsible AI practices.

The role

You define the data model and storage strategy, evaluate and standardize the technical stack, run performance and load testing, and document the cloud migration roadmap.

Profile

• 10+ years in technical architecture
• Experience in data modeling and databases (Oracle, MSSQL, PostgreSQL)
• Cloud architecture and platforms (AWS, IBM Cloud, GCP)
• Knowledge of responsible AI practices and model governance
• Stack: Angular 17+, Spring Boot, Python (FastAPI/Django), Node.js, Camunda, Airflow, Spark, Kafka

Terms

• Downtown Montreal, hybrid (3 days/week on-site)