Technical Skills: Experience designing and implementing microservices architectures, including service discovery, inter-service communication, API versioning, and distributed tracing/logging for observability.

Proficiency in

Pythonfor backend development, including FastAPI, async patterns, and Pydantic-based data validation.

Hands-on experience withSQLand analytical databases for writing optimized queries, aggregations, and data transformations.

Experience developing

Snowflake-native applications: stored procedures (Java

Script/Python), Tasks, Streams, Dynamic Tables, and Snowpark for building backend processing engines.

Understanding ofREST API design, OpenAPI specifications, and API integration patterns in frontend applications.

Knowledge ofauthentication and authorizationpatterns including JWT, OAuth2, and role-based access control.

Experience with

Dockerand

Docker Composefor local development and containerized deployments.

Familiarity withCI/CD pipelinesfor automated testing and deployment.

Experience withversion controlusing Git, including branching strategies and code review workflows.

Ability to work withcloud platforms(AWS, Azure, or GCP) for data storage, compute, and deployment.

Responsibilities and Duties: 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, establishing explicit service boundaries for domain-specific and ensuring loose coupling through well-defined API contracts.

Design and develop





Snowflake-native applicationsincluding Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end and processing engines that run natively within the Snowflake compute layer.

Design and 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.

Qualifications and Skills: Bachelor''s degree (Master''s preferred) in Computer Science, Software Engineering, Information Systems, or a related discipline. 7-8 years of professional Data Platform Engineering experience, with demonstrated delivery of production-grade web applications.

Experience in the

Payments or Fintech industrywould be a strong asset.

Proficiency in

Pythonfor backend development, including FastAPI, async patterns, and Pydantic-based data validation.

Understanding ofREST API design, OpenAPI specifications, and API integration patterns in frontend applications.

Knowledge ofauthentication and authorizationpatterns including JWT, OAuth2, and role-based access control.

Experience with

Dockerand

Docker Composefor local development and containerized deployments

📌 Data Platform Engineer (Toronto)
🏢 LONG FINCH TECHNOLOGIES
📍 Toronto