Platform Analytics Developer

Take a central role The Bank of Canada has a vision to be a leading central bank—dynamic, engaged and trusted—committed to a better Canada. No other employer in the country offers you the unique opportunity to work at the very center of Canada’s economy, in an organization with significant impact on the economic and financial well-being of all Canadians. You will be challenged, energized and motivated to excel in our environment.

Building on the principles that have always guided us – excellence, integrity and respect – we strive to be forward-looking and innovative, to welcome people with diverse perspectives and talents, and to earn trust by living up to our commitments and by clearly explaining the intent of our policies and actions.

With our defined-benefit pension plan, benefits, and high flexibility for work life balance - find out more about why we are annually ranked as one of Canada’s top employers: Working Here - Bank of Canada

Find out more about the next steps in our Recruitment process .

**What You Need To Know** As part of our Data and Digital Services Department, the Business Intelligence & Insights team supports the accessibility, useability, and application of critical data supporting the Bank’s core mandates, including monetary policy, the financial system, currency, funds management, and payments regulatory oversight as well as Corporate Administration.

We are seeking a Platform Analytics Developer to support the end-to-end architecture design, development, and delivery of enterprise-grade advanced analytics platform solutions across the full lifecycle, from ingestion to consumption.

This role combines platform support (with a focus on Fabric) and deep expertise in data engineering, modelling and business intelligence to build scalable, resilient and high-performing data solutions that drive actionable insight across operational and corporate functions.

Operating with a high degree of autonomy, you will tackle complex, ambiguous data challenges, shape platform direction, and enable trusted, organization-wide analytics across multiple critical domains. You bring a collaborative mindset and play a key role in mentoring and guiding colleagues, strengthening team capabilities and fostering a culture of continuous learning.

**What You Will Do** Under the guidance of the Assistant Director you design, deliver and maintain impactful data and analytical solutions, applying best practices and creative problem-solving to meet evolving user needs.

More Specifically You Will:

• Support the design of scalable, resilient, and maintainable architectures of Fabric platform
• Own the end-to-end lifecycle of data products, from ingestion and transformation to semantic modeling and consumption across Corporate Administration and Operations
• Define and enforce platform standards, governance, and best practices
• Contribute to and help shape the platform roadmap and strategy
• Evaluate, test, and implement new tools, capabilities, and platform features
• Provide operational support for delivery of integrated, high-impact enterprise solutions
• Integrate DataOps/DevOps practices(CI/CD, automated testing, deployment pipelines) into core infrastructure
• Design and build production-grade data pipelines for batch and real-time use cases
• Develop reusable, scalable data assets aligned to a data-as-a-product approach
• Establish and maintain semantic layers and data modeling standards
• Enable and upskill team members through coaching, standard, and training initiatives
• Leverage AI tools (e.g. Power Automate, Data Activator) to accelerate development and automate workflows.

**What You Need To Succeed** You are a collaborative and adaptable professional who thrives in a fast-paced environment. You communicate effectively with both technical and non-technical audiences, contribute to or leads discussions, and approach complexity and change with a solution-oriented mindset. .

You Bring:

• Strong experience in analytics engineering, data platform development or related roles.
• Proven ability to design and deliver end-to-end, scalable data and analytics solutions
• Expertise in Fabric architecture and modern data platforms (e.g. Lakehouse Environments)
• Advanced skills in data and semantic modeling, distributed processing (e.g. Spark) and pipeline orchestration
• Experience designing scalable and resilient data architectures and workin…