Job Description
What's the opportunity?We’re looking for an enthusiastic Software Developer who’s excited by the opportunity to work on challenging problems at the intersection of data management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical RBC metadata management platform. You’ll leverage your expertise in microservices, Python, and Mongo
DB to deliver robust solutions, support regulatory and compliance requirements, and integrate with both proprietary and open-source data governance tools. At RBC Borealis, you’ll join a high-performance team that collaborates with various groups to deliver solutions at enterprise scale. Your contributions will ensure high standards of performance, security, and auditability in a dynamic, innovative environment.
Serve as a critical contributor to the Lumina Data Management control plane
—a platform designed to manage key aspects of the modern data stack that accelerate Data & AI initiatives. This includes metadata management, governance, and compliance for enterprise data platforms (Enterprise Data Lake, Snowflake, Teradata, Trino, AWS/Azure), as well as integration with ingestion tools to enable metadata-driven data movement.
Your responsibilities include:
Architect, design, and develop robust backend services using Python (Flask/FastAPI) and Mongo
DB.
Design and optimize large, complex JSON-based data models for metadata and data governance.
Implement and maintain RESTful APIs, including OpenAPI/Swagger documentation.
Integrate with external systems and data sources for collecting metadata and capturing other critical info (e.g., file systems, databases, APIs).
Ensure data security, compliance, and audibility in all solutions.
Optimize Mongo
DB queries, indexing, and schema design for performance and scalability.
Collaborate with Dev Ops for CI/CD, monitoring, and deployment automation.
Mentor junior developers and participate in code reviews.
Stay current with industry trends in data governance, cloud data platforms, and backend engineering.
5+ years of professional experience in backend development.
Expertise in Python (Flask or similar frameworks).
Strong experience with MongoDB (schema design, aggregation, indexing, performance tuning).
Experience designing and documenting RESTful APIs (OpenAPI/Swagger).
Deep understanding of JSON data modeling and handling large, complex documents.
Familiarity with data governance concepts (compliance, data lineage, stewardship, and data quality).
Experience integrating with external data sources (databases, files, APIs).
Knowledge of security best practices (authentication, authorization, secret management).
Proficient with Git and collaborative development workflows.
Strong problem-solving and communication skills.
Skills:
Experience with
cloud platforms (AWS, Azure, GCP) in a regulated environment.
Familiarity with CI/CD pipelines and containerization (Docker, Kubernetes).
Experience with
metadata cataloging tools or enterprise data governance platforms.
Experience deploying and managing open-source data governance tools (e.g., Data Hub, Amundsen) is a plus, but not mandatory.
Exposure to large-scale data processing and distributed systems.
Experience with
monitoring, logging, and regulatory reporting solutions.
Be part of a dynamic & flexible working environment.
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential.
Leaders who support your development through coaching and managing opportunities.
Ability to make a difference and lasting impact from a local-to-global scale.
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development.
With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
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