Data Platform Engineer

ITMC Systems, Inc; Toronto; Hybrid; CAD 140,000 - 210,000; Full time

Job summary

ITMC Systems, Inc. in Toronto is seeking a Senior Backend Data Platform Engineer to design and maintain a high-throughput financial analytics platform. The role emphasizes backend platform engineering with Python, FastAPI, and microservices.

You will own end-to-end feature delivery, optimize Snowflake-based data processing, and implement secure REST APIs with OpenAPI, RBAC, and OAuth2/JWT. Hybrid work in the Greater Toronto Area.

Qualifications

• 10+ years of professional backend platform development experience delivering production-grade applications.
• Mastery of Python, async FastAPI patterns, microservices architecture, and Pydantic-based data validation.
• Hands-on Snowflake-native engines, Snowpark, Tasks, Streams, Dynamic Tables, and Stored Procedures.
• Advanced SQL (Snowflake/PostgreSQL), REST API design, and OpenAPI specs.
• DevOps & Cloud: Docker, Git, CI/CD, and AWS/Azure/GCP.
• Bachelor's or Master's degree in CS/Software Eng or related field.
• Experience in Payments/Fintech is a strong asset.

Responsibilities

• Backend & API Development: Design and deploy scalable microservices using FastAPI.
• Snowflake Data Platform: Develop Snowflake-native apps with Snowpark, procedures, streams.
• Database Optimization: Write and optimize SQL queries for reporting and analytics.
• End-to-End Ownership: Own feature delivery from requirements to deployment.
• Security & Architecture: Implement microservices patterns, RBAC, OAuth2/JWT, OWASP Top 10.

Skills

Python

FastAPI

Microservices

Async programming

Pydantic

SQL

OpenAPI

REST APIs

CI/CD

Cloud platforms

Education

Bachelor's or Master's degree in Computer Science or Software Engineering

Tools

Docker

Git

Snowpark

Snowflake

Job description

Job Overview

We are seeking a Senior Backend Data Platform Engineer (10+ years experience) to design, build, and maintain our EMFI Data Application Platform, a high-throughput financial analytics application.

Note: This is primarily a Backend Platform Engineering (Python) role with strong data development capabilities—not a traditional heavy Data Pipeline/ETL role. Candidates will be evaluated on core backend architecture, Python, and microservices proficiency first.

Workplace Type & Location: Hybrid (3 days/week Onsite in Toronto, ON). Candidates must reside in or near the Greater Toronto Area.

Key Responsibilities

• Backend & API Development: Design and deploy scalable microservices using FastAPI. Implement robust RESTful API endpoints, ensuring clear API contracts versioned and documented via OpenAPI/Swagger.
• Snowflake Data Platform: Develop Snowflake-native applications utilizing Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to power backend day-end processing engines.
• Database Optimization: Write and optimize complex SQL queries against Snowflake and PostgreSQL for reporting, aggregation, and analytical engines.
• End-to-End Ownership: Own end-to-end feature delivery-from initial requirements gathering and API contract definition to implementation, automated testing, and cloud deployment.
• Security & Architecture: Implement microservices patterns (service discovery, distributed tracing, async processing) and ensure platform security aligned with OWASP Top 10, role-based access control (RBAC), and OAuth2/JWT.

Requirements & Technical Qualifications

• Experience: 10+ years of professional backend platform development experience delivering production-grade applications.
• Core Backend: Mastery of Python, async FastAPI patterns, microservices architecture, and Pydantic-based data validation.
• Snowflake Expertise: Hands-on experience building Snowflake-native engines, utilizing Snowpark, Tasks, Streams, Dynamic Tables, and Stored Procedures.
• Database & APIs: Advanced SQL capabilities (Snowflake/PostgreSQL), strong REST API design, and OpenAPI specifications.
• DevOps & Cloud: Hands-on with Docker/Docker Compose, Git workflows, CI/CD pipelines, and general cloud platform environments (AWS/Azure/GCP).
• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
• Industry Experience: Prior experience in Payments, Fintech, or Financial Services is a strong asset.