Work on a flexible hybrid schedule. The work location is 483 Bay Street in Toronto until late 2026, after which it will move to the new Mississauga office at 3 Robert Speck Parkway.

The Data Architect will help establish and evolve data standards, models, and technical solutions that align with the Canada data strategy and technology directions. You will translate business requirements into technology specifications and define data standards and technology solutions.

Align with enterprise data strategy and collaborate with international partners.

Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.

Define the data architecture framework, standards, and principles, including modeling, metadata, security, reference data, and master data.

Define reference architecture patterns for improving data systems.

Map data flows and manage data transitions.

Develop data solutions to store and retrieve company information.

Design conceptual and logical data models and flowcharts.

Apply data governance best practices and tool experience.

Support business and technology initiatives aimed at improving data quality and timeliness.

University degree in Computer Science or equivalent work experience.

Minimum 7 years of experience as a Data Architect.

Background in MLOps, CI/CD for Machine Learning pipelines, or automated model lifecycle management.

Proven experience in database logical and physical builds and expertise in BI and data visualization tools such as Tableau, Oracle, SAP, Salesforce, and PowerBI.

Advanced skills in Analytics, AI/ML, data source analysis, and overall data management.





Master Data Management experience with Ataccama or similar vendors.

Proficiency with Cloud technologies (AWS preferred).

Experience with data warehousing, ideally Snowflake.

Strong database build skills and experience with Microsoft SQL, Oracle, AWS Aurora, MySQL, PostgreSQL, and ProgressDB.

Experience leading architectural design and transformative initiatives in AI.

Good project management skills and structured process mapping.

Architecture management and governance of structured and unstructured data.

Strong understanding of Data Governance principles and tools.

Experience in Data Modelling and Technical Data Analysis.

Base Salary and discretionary performance bonus: annual range of $140,000 to $170,000, based on experience and qualifications.

Flexible working arrangements – 100% remote, hybrid, and in‑office options.

Parental leave top‑up to 100% of salary for up to 25 weeks.

Up to $650 for home office equipment.

Generous time‑off policy, including 2 paid days annually to volunteer.

Diversity and inclusion programs with active employee resource groups.

Extensive career development opportunities, including training courses, tuition reimbursement, and rewards for designation completion.

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status, or any other legally protected ground.

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📌 Senior Data Engineer, Machine Learning (Remote) (Toronto)
🏢 Fidelity Canada
📍 Toronto