Data Platform Engineer

Description

Job Title: Data Platform Engineer

Company Overview

We are a global leader in Fintech and payments, dedicated to moving money and information in ways that impact the world. Our mission is to connect financial institutions, corporations, merchants, and consumers millions of times a day – quickly, reliably, and securely. If you aspire to make a difference on a global scale, we invite you to join our team.

Job Summary

The Data Platform Engineer will be responsible for designing, building, and maintaining the EMFI Data Application Platform, a financial analytics application. This role requires working across the full stack to deliver reliable, performant, and secure data products.

Key Responsibilities

• Collaborate with internal stakeholders to translate business and analytical requirements into well-defined backend features and data products.
• Design and deploy scalable microservices within the FastAPI ecosystem, ensuring clear service boundaries and loose coupling through well-defined API contracts.
• Develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end processing engines.
• Implement RESTful API endpoints using FastAPI, ensuring data contracts are clearly defined, versioned, and documented via OpenAPI/Swagger.
• Write and optimize SQL queries against Snowflake and PostgreSQL for reporting, aggregation, and analytical use cases.
• Own end-to-end feature delivery: from requirements gathering and API contract definition through implementation, testing, and deployment.
• Ensure platform security by applying best practices around authentication, authorization (RBAC), input validation, and safe error handling, aligned with OWASP Top 10.

Technical Skills

• Experience designing and implementing microservices architectures, including service discovery, inter-service communication, API versioning, and distributed tracing/logging.
• Proficiency in Python for backend development, including FastAPI async patterns, and Pydantic-based data validation.
• Hands-on experience with SQL and analytical databases for writing optimized queries, aggregations, and data transformations.
• Experience developing Snowflake-native applications: stored procedures (JavaScript/Python), Tasks, Streams, Dynamic Tables, and Snowpark.
• Understanding of REST API design, OpenAPI specifications, and API integration patterns.
• Knowledge of authentication and authorization patterns including JWT, OAuth2, and role-based access control.
• Experience with Docker and Docker Compose for local development and containerized deployments.
• Familiarity with CI/CD pipelines for automated testing and deployment.
• Experience with version control using Git, including branching strategies and code review workflows.
• Ability to work with cloud platforms (AWS, Azure, or GCP) for data storage, compute, and deployment.

Qualifications and Skills

• Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, Information Systems, or a related discipline.
• 5-7 years of professional full stack development experience, with demonstrated delivery of production-grade web applications.
• Experience in the Payments or Fintech industry would be a strong asset.
• Proven ability to work independently and manage multiple concurrent workstreams.
• Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical audiences.
• Unquestionable personal and business ethics and integrity.

Work Environment: Hybrid, Toronto, ON, Canada

Call to Action:

If you are passionate about building innovative data solutions and want to be part of a dynamic team, we encourage you to apply. Please click the apply button to submit your application. For any inquiries, feel free to reach out to our recruitment team.