Data Platform Engineer | Toronto, Canada- locals only(3 Days Onsite) | 10+ yrs | Python, FastAPI, Microservices, REST APIs, Snowflake (Snowpark, SPs, Tasks, Streams, Dynamic Tables), SQL, PostgreSQL, Docker, CI/CD, AWS/Azure/Google Cloud Platform

Data Platform Engineer (Database development), Toronto, Canada

  (FYI we don’t provide extended health insurance in Canada)

Work mode: Onsite for 3 days submit only candidate near by Toronto

 

Inputs form client :

While the role does require Snowflake experience and someone who can develop Snowflake-native applications, it is not a Snowflake-heavy Data Engineer role. The primary expectation is to hire a Backend Platform Engineer (Python) with solid data development experience.

Given the nature of the role, I would recommend evaluating candidates through our Backend Engineering panel first to properly assess their platform engineering, Python, and microservices capabilities. We can then have an L2 discussion with Bhaskar and me to evaluate the overall fit for the role.

The key focus areas remain:

•€€€€€€€ Strong Python backend development (FastAPI, microservices, REST APIs)

•€€€€€€€ Data development with SQL and Snowflake (Snowpark, Stored Procedures, Tasks, Streams, Dynamic Tables)

•€€€€€€€ Backend platform engineering, API design, and cloud-native development

•€€€€€€€ Ability to independently own end-to-end feature delivery

 

Data Platform Engineer

Company

We''re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we''re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Overview

The primary focus of this role will be to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The incumbent will work across the full stack to deliver reliable, performant, and secure data products.

Reports To

Director Data and AI, Embedded Finance

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 clear service boundaries for domain-specific services and ensuring loose coupling through well-defined API contracts.

• Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end 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.

Technical Skills

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

• 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 for building backend processing engines.

• Understanding of REST API design, OpenAPI specifications, and API integration patterns in frontend applications.

• 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 Google Cloud Platform) 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.

• 10+ 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, manage multiple concurrent workstreams, and deliver with minimal oversight.

• Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical audiences.

• Unquestionable personal and business ethics and integrity.

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