Data Architect Sr

Fidelity International; Toronto; On-site; CAD 140,000 - 170,000; Full time

Benefits offered by this job

Health benefits

RRSP contribution

Flexible hybrid/remote options

Home office equipment allowance

Job summary

Fidelity Canada is seeking a senior Data Architect to lead architectural design and transformative data initiatives. You will align with our data strategy, collaborate with international partners, and define reference architectures for scalable data systems.

You will drive data modelling, governance, and integration across BI tools and cloud platforms, including Snowflake and Boomi iPaaS, while enabling AI/ML workflows and robust data quality.

Qualifications

• University Degree, preferably in Computer Science, or equivalent work experience.
• Minimum 7 years of experience as a Data Architect.
• Experience implementing RAG architectures, fine-tuning LLMs, or integrating GenAI into enterprise systems.
• Background in MLOps, CI/CD for Machine Learning pipelines, or automated model lifecycle management.
• Proven experience in database design and BI/data visualization tools (Tableau, Oracle, SAP, Salesforce, PowerBI).
• Master Data Management experience with Ataccama or similar vendors.
• Cloud technologies experience (AWS preferred).
• Snowflake and data warehousing experience.
• Data integration platforms experience (Boomi iPaaS).
• Proficiency with MS SQL, Oracle, AWS Aurora, MySQL, PostgreSQL, ProgressDB.
• Familiarity with open-source tools (Sqoop, KNIME, RapidMiner, Elasticsearch, Kafka).
• Experience with architecture governance platforms (LeanIX).

Responsibilities

• Align with enterprise data strategy and collaborate with international partners.
• Translate business requirements into technical specifications for data streams and warehouses.
• Define data architecture standards, metadata, security, and master data.
• Define reference architecture to guide data system improvements.
• Model data flows and governance across the organization.
• Collaborate with multiple departments and external vendors.
• Develop data solutions to store and retrieve company information.
• Create conceptual and logical data models and flowcharts.
• Support data quality and timely delivery initiatives.

Skills

Data architecture

Big data

Analytics & AI/ML

Data governance

Cloud technologies

SQL & databases

BI visualization tools

Education

University degree in CS or equivalent

Tools

Snowflake

Bo​omi iPaaS

Tableau

Oracle

SAP

PowerBI

Job description

Job Description

You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement. Current work authorization for Canada is required for all openings. The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the new Mississauga office at 3 Robert Speck Parkway.

How You’ll Make an Impact

The Architecture team is responsible for delivering technology solutions that support our divisional strategy. In addition, the team leads the development of Fidelity Investments Canada’s technology vision and strategy. This involves conducting research into a variety of technologies and business focus areas that includes data warehouse, data integration, master data, big data, cloud services, data governance and quality, security and operational efficiency.

What You Will Do

• Overall alignment with enterprise data strategy, a key responsibility involves technology solutions in addition to close collaboration with our international partners.
• Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
• Defining the data architecture framework, standards and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, product and employees.
• Defining reference architecture, which is a pattern that others can follow to create and improve data systems.
• Defining data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition.
• Collaborating and coordinating with multiple departments, stakeholders, partners, and external vendors.
• Developing data solutions to store and retrieve company information.
• Designing conceptual and logical data models and flowcharts.
• Bringing good knowledge of data governance best practices and tools experience.
• Providing business analyst support to business and technology initiatives aimed at improving data quality, timeliness of delivery.

What We’re Looking For

• University Degree, preferably in Computer Science, or equivalent work experience.
• Minimum 7 years of experience as a Data Architect.
• Experience implementing RAG architectures, fine‑tuning LLMs, or integrating GenAI into enterprise systems.
• Background in MLOps, CI/CD for Machine Learning pipelines, or automated model lifecycle management.
• Proven experience in database logical and physical build, 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 other industry‑leading vendors like IBM and Informatica.
• Proficiency with Cloud technologies (AWS preferred).
• Proficiency in data warehousing, ideally with experience in Snowflake.
• Experience with data integration platforms, specifically Boomi iPaaS.
• Strong database build skills and experience with Microsoft SQL, Oracle, AWS Aurora, MYSQL, PostgreSQL, and ProgressDB.
• Familiarity with leading open‑source tools like Apache Sqoop, KNIME, RapidMiner, Elasticsearch, Pig, Hive, and Kafka.
• Experience with architecture enterprise management platforms (LeanIX preferred).

The Expertise You Bring

• Experience leading architectural design and transformative initiatives in AI.
• Good project management skills and structured process mapping skills.
• Excellent problem‑solving skills, communication and presentation skills.
• Ability to build relationships and work effectively with cross‑functional teams.
• Architecture management and governance of structured and unstructured data.
• Strong understanding of Data Governance’s principles and tools.
• Experience Data Modelling and Technical Data Analysis.
• Additional relevant expertise that aligns with the role’s responsibilities.

Total Rewards That Reflect Your Impact

• Base Salary and Discretionary Performance Bonus: $140,000 to $170,000 annually, based on experience and qualifications.
• RRSP Contribution: After 6 months of employment, we invest in your future with an RRSP contribution—no employee matching required.
• Flexible working arrangements: 100% remote, hybrid, and in‑office options.
• Comprehensive health benefits that start on your first day, with 100% employer‑paid premiums, including up to $5,000 annually for mental health services and therapy.
• Parental leave top‑up to 100% of your salary for a period of 25 weeks.
• Up to $650 for home office equipment.
• Generous time off policy, including 2 paid days annually to volunteer at a charity of your choice.
• Diversity and inclusion programs, including an active network of Employee Resource Groups.
• Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation.

Equal Employment Opportunity

Fidelity Canada is an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace. 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. Accommodation during the application process is available on request. If you require an accommodation, please email us at [e-mail].