Data Scientist Jobs, Openings, Vacancies in Canada

Principal, Data Engineering & Architecture at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Architecture, Agentic Ai, Architecture As Code, Python, Java, Go, Terraform, Docker, Ci/Cd, Rag, Data Contracts, Semantic Layer, Distributed Systems, Cloud Object Stores, Kafka, Snowflake

Specialization
Requires a Bachelor's or Master's degree and 10+ years of experience in software/platform engineering for large-scale data and AI platforms. Must have practical experience with Architecture as Code, Agentic AI systems, and modern DevOps tools like Terraform and Docker.

Experience Required
Minimum 10 year(s)

Online Data Analyst - French Speakers (WFH) at TELUS Digital Bulgaria

, , Canada - Full Time

Skills Needed
French Proficiency, Online Research, Data Verification, Data Analysis, Search Engine Proficiency, Map Evaluation

Specialization
Candidates must have full professional proficiency in French and have resided in Canada for the last five consecutive years. Proficiency in online research and familiarity with Canadian cultural and current affairs are required.

RQ10554 - Database Administrator - Senior at Maarut

Toronto, Ontario, Canada - Full Time

Skills Needed
Database Administration, Pl/Sql, Etl Procedures, Query Optimization, Performance Tuning, Capacity Planning, Backup And Recovery, Cloud Technologies, Oracle, Sql Server, Linux, Unix, Windows, Information Retrieval, Communication Protocols, Technical Design

Specialization
Candidates must have over 10 years of experience in database administration, including design, implementation, and support, with strong expertise in PL/SQL and ETL procedures. Familiarity with various database technologies and cloud platforms is essential, along with excellent analytical and problem-solving skills.

Experience Required
Minimum 10 year(s)

Sr. Manager, Data Engineering & Analytics at Serve Robotics

Alberta, Alberta, Canada - Full Time

Skills Needed
N/A

Data Migration Specialist — 12- month contract at Catalis Holdco Inc

Edmonton, Alberta, Canada - Full Time

Skills Needed
Data Migration, Python, Postgresql, Ms Sql, Api Integration, Pytest, Selenium, Playwright, Git, Etl, Qa Automation, Data Cleansing, Sql Window Functions, Jira, Confluence, Saas Implementation

Specialization
Requires 1+ years of experience in data-centric roles with proficiency in Python, SQL, and API-based workflows. Experience with test automation frameworks and Git source control is essential.

Experience Required
Minimum 2 year(s)

Data Entry Clerk / Office Assistant – Canada at Burjline Builders

Saskatchewan Beach, Saskatchewan, Canada - Full Time

Skills Needed
Data Entry, Digital Document Management, Administrative Support, Email Correspondence, Scheduling, Data Verification, Ms Office, Google Workspace, Crm, Project Management Tools, Time Management, Communication Skills

Specialization
Candidates must have a high school diploma and be tech-savvy with strong organizational skills. While no experience is required for entry-level, experienced candidates should possess proficiency in MS Office and Google Workspace.

Manager, Customer Operations & Data Services at Staples Canada

Richmond Hill, Ontario, Canada - Full Time

Skills Needed
People Leadership, Customer Operations, Data Governance, Erp Systems, Crm Tools, E Commerce Administration, Process Improvement, Sla Management, Workforce Scheduling, Analytical Problem Solving, Cross Functional Collaboration, Operational Reporting, Microsoft Excel, Account Maintenance, Performance Management, Workflow Optimization

Specialization
Requires 5+ years of experience in customer operations or data administration with proven people leadership skills. A post-secondary degree in Business, Operations, or a related field is preferred.

Experience Required
Minimum 5 year(s)

Data Engineer with Colorado Avalanche- Contract at Legends at Ball Arena

Quinte West, Ontario, Canada - Full Time

Skills Needed
Etl Architecture, Database Architecture, Sql, Query Optimization, Git, Back End Software Design, Spark, Databricks, Azure, Front End Development, Data Integration, Problem Solving

Specialization
Requires strong knowledge of cloud-based ETL architecture, SQL expertise, and experience with Git and database design. A degree in computer science or a related field and knowledge of hockey analytics are preferred.

Experience Required
Minimum 2 year(s)

Cloud Data and Application Solution Specialist at 7NXT Health Group

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Relational Data Modeling, Sql, Python, Javascript, Azure, Aws, Databricks, Spark, Api Development, Etl/Elt, Full Stack Development, Data Engineering, Nosql, Ci/Cd, Devops, Healthcare Data Governance

Specialization
Requires a Master's degree in a technical field and 3+ years of experience in data or cloud engineering. Proficiency in SQL, Python, JavaScript, and experience with AWS or Azure cloud environments is essential.

Experience Required
Minimum 2 year(s)

Data Collection and Administrative Assistant at PCRS General

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Data Collection, Administrative Support, Salesforce, Waitlist Management, Reporting, Time Management, Planning, Electronic Filing, Data Management, Scheduling

Specialization
Requires an experienced individual with a strong understanding of data collection, documentation, and meticulous organizational skills. Must be able to work independently and manage time effectively in a fast-paced environment.

Experience Required
Minimum 2 year(s)

Lead Data Platform Engineer (German Speaker) at Jobgether

, , Canada - Full Time

Skills Needed
Go (Golang), Google Cloud Platform, Sql, Terraform, Ci/Cd, Docker, Protobuf, Data Modeling, Bigquery, Dataflow, Pub/Sub, Cloud Run, German Fluency, Ai Assisted Engineering, Platform Architecture, Stakeholder Management

Specialization
Requires 5+ years of experience in data platform engineering with strong proficiency in Go and Google Cloud Platform. Fluent German (C1 level) and excellent English communication skills are mandatory.

Experience Required
Minimum 5 year(s)

Senior Staff Software Engineer - Data Platform at MQ Referrals Only

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Data Platform Engineering, Lakehouse Architecture, Apache Iceberg, Delta Lake, Apache Spark, Aws Glue, Apache Kafka, Python, Go, Java, Apache Airflow, Cdc Pipelines, System Design, Infrastructure Modernization, Technical Leadership, Multi Tenant Data Access

Specialization
Requires extensive experience building data platforms and production depth in lakehouse technologies like Iceberg or Delta. Must be proficient in Python and either Go or Java, with a proven track record of evolving live infrastructure and leading major platform transitions.

Experience Required
Minimum 10 year(s)

Manager, Cards Credit Strategy and Data Science at Royal Bank of Canada

Toronto, Ontario, Canada - Full Time

Skills Needed
Business Data Analysis, Credit Analysis, Critical Thinking, Database Queries, Data Visualization, Decision Making, Quantitative Methods, Risk Management, Sql, Python, Financial Modelling, Problem Solving

Specialization
Requires expert problem-solving skills in credit risk and financial modelling, with proficiency in SQL, Python, and data visualization tools. Experience with modern technology stacks like AWS and HDFS, and the ability to present to senior management is essential.

Experience Required
Minimum 5 year(s)

Flight Centre - Junior Data Engineer - Toronto, ON at Flight Centre

, Ontario, Canada - Full Time

Skills Needed
Data Pipelines, Python, Pyspark, Power Bi, Sql Server, Azure Data Lake, Azure Blob Storage, Agile Methodologies, Data Architecture, Lakehouse, Data Security, Technical Documentation

Specialization
Requires 1-2 years of experience in data engineering with proficiency in Python, SQL Server, and Azure storage services. Familiarity with PySpark, Power BI, and data architecture concepts like lakehouse is strongly preferred.

Senior Product Manager, Enterprise Data Governance at Asana

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Product Management, Data Governance, Identity And Authentication Systems, Regulatory Compliance, B2b Enterprise Platform Solutions, Data Modeling, Strategic Roadmap Execution, Cross Functional Leadership, Ai Policy Controls, Customer Data Lifecycle Management, Security Frameworks, Stakeholder Management

Specialization
Requires 6+ years of Product Management experience with deep expertise in security, identity systems, or B2B enterprise platforms. Must be skilled in modeling complex data relationships and leading executive-facing strategic discussions.

Experience Required
Minimum 5 year(s)

Manager, Cards Credit Strategy and Data Analytics at Royal Bank of Canada

Toronto, Ontario, Canada - Full Time

Skills Needed
Business Data Analysis, Communication, Credit Analysis, Critical Thinking, Database Queries, Data Visualization, Decision Making, Quantitative Methods, Risk Management, Sql, Python, Excel, Financial Modelling, Tableau, Experimental Design, Statistical Analysis

Specialization
Requires a university degree in a quantitative field and expertise in SQL, Python, and financial modeling. Candidates should have proven experience in data visualization and the ability to deliver presentations to senior stakeholders.

Experience Required
Minimum 5 year(s)

Sales Engineer at Entrust Datacard

Kanata, ON, Canada - Full Time

Skills Needed
N/A

Qualification
Graduate

Experience Required
Minimum 5 year(s)

Fulfillment Operations Support at Entrust Datacard

Ottawa, ON, Canada - Full Time

Skills Needed
Salesforce, Supply Chain, Operations, Communication Skills, International Business

Specialization
High tech logistics

Qualification
Graduate

Experience Required
Minimum 3 year(s)

SAP Architect at Data Science Lab

Ontario, Ontario, Canada - Full Time

Skills Needed
N/A

Principal, Engineer (SAP) at The Database Dept

Ontario, Ontario, Canada - Full Time

Skills Needed
N/A

Principal, Data Engineering & Architecture at Dr Bill RBC Ventures

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

05 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Agentic AI, Architecture as Code, Python, Java, Go, Terraform, Docker, CI/CD, RAG, Data Contracts, Semantic Layer, Distributed Systems, Cloud Object Stores, Kafka, Snowflake

Industry

Banking

Description

Job Description What is the opportunity? The Principal, Data Engineering and Architecture is a senior individual contributor who leads the end-to-end engineering of enterprise-grade data applications, combining hands-on development with strategic architecture. Working at the intersection of Data architecture, engineering, and modern software delivery, this role is directly accountable for engineering robust, scalable solutions, operationalizing Architecture as Code, and embedding Agentic AI capabilities into the enterprise data ecosystem, with robust CI/CD integration. The incumbent will collaborate with cross-functional teams - data engineers, product managers, ML engineers, and business stakeholders to accelerate innovation through hands-on engineering, infrastructure-as-code, and production-ready deployments. This role sets technical direction across multiple teams, establishes engineering standards (opinionated frameworks, patterns, and reusable templates), and ensures every data solution is built with security, observability, and operational resilience by design. The principal will conceive and portray the big picture for enterprise data, analyze current state, conceptualize desired future state with the Enterprise Platforms, and define the architecture governance and solution roadmap to close the gap. As a practicing data architect, the incumbent will design data product reference architectures, formalize Data Contracts as governed architecture artifacts, and position the Semantic Layer as a first-class tier in the enterprise stack, codifying these patterns into the TRM and Reference Architectures, while conducting architecture reviews to ensure domain teams build in conformance. What will you do? Hands-on engineering of high-quality data and AI applications end-to-end, from conceptual design through build, deployment, and production hardening. Build the enterprise data management framework that defines how data is stored, consumed, integrated, and governed by different data entities and applications — ensuring alignment with the Enterprise Data Reference Architecture (ERDA). Drive the Data Architecture Strategy for domain-oriented Data Hubs and Data Products, self-service data analytics, with established best practices and capabilities for operationalizing data products and services. Design data product reference architectures — define the canonical patterns, blueprints, and boundary definitions that data product teams follow when building, publishing, and consuming data products across domains. Model and formalize Data Contracts as architecture artifacts — author contract specifications (schema, SLA, semantic) as versioned, machine-readable architecture documents that sit alongside Architecture Decision Records and are governed through the same review process. Architect the Semantic Layer within the enterprise data architecture, to position semantic layer as an architectural tier in the enterprise stack, defining how metric definitions, business logic, and dimensional models are authored, versioned, and consumed consistently by BI, AI/ML, and application layers. Define data product boundary and integration patterns — codify architectural guidance on how data products expose interfaces (APIs, event streams, materialized views, semantic endpoints), how contracts govern those interfaces, and how consumers discover and bind to them. Create data product and contract standards — codify approved technologies, frameworks, and tooling for data product construction, contract definition, semantic layer implementation, and contract validation between producers and consumers — schema contracts (structure, types, constraints), SLA contracts (freshness, availability, latency), and semantic contracts (business definitions, lineage, classification) — validated automatically within CI/CD pipelines through contract testing. Architect and implement a unified Semantic Layer — a centralized business-logic tier that provides consistent metric definitions, dimensions, and governed data access across BI tools, AI/ML models, and application APIs, eliminating metric drift and conflicting business definitions Integrate contract testing and semantic validation into delivery pipelines — schema enforcement, backward-compatibility checks, anomaly detection, freshness validation, and semantic consistency verification prior to stage promotion. Design the data product lineage and observability architecture — architect end-to-end traceability from source system through data product to consumer, including contract compliance monitoring, semantic layer usage telemetry, and SLA adherence dashboards Automate architecture contract for data product designs — review domain team data product proposals for conformance to enterprise patterns, contract completeness, semantic layer alignment, and integration with the broader data architecture. Evolve the Enterprise Data Reference Architecture (ERDA) to formally incorporate data-as-product principles, contract-driven integration, and the semantic layer as first-class architectural constructs alongside traditional storage, processing, and governance tiers. Enable and operationalize Architecture as Code for data initiatives, Data Hubs, and Data Products - codify hub architecture topologies and design, data product boundaries, contract definitions, and integration patterns as version-controlled architecture definitions that are validated on every change, ensuring data initiatives are architecturally governed from inception through production deployment. Design and deploy multi-step reasoning workflows and autonomous decision agents for Architecture— including retrieval-augmented generation (RAG), embedding-based search, prompt engineering, and agent evaluation/guardrails frameworks to ensure agents behave reliably, safely, and within business policy constraints. Hands-on POC development for novel agentic patterns to prove viability, inform adoption, and scale successful patterns into production platforms. Apply AI-assisted tooling to enhance architecture decisioning, documentation, code generation, and operational optimization — while validating outputs with sound engineering judgment. Conceptualize and influence solutions in major programs that steer toward desirable outcomes, in alignment with the Enterprise Data Architecture Strategy. Set technical direction and influence across multiple teams to align stakeholders on trade-offs, sequencing, and engineering standards. Mentor and coach architects, and practitioners; serve as the technical escalation point for engineering challenges in the Data Architecture applications Lead cross-team design reviews, create reusable architecture artifacts, and contribute to organization-wide engineering standards and best practices. Collaborate with senior technology and business leaders to articulate trade-offs, influence roadmaps, and align platform strategy with the enterprise’s long-term data and AI vision. What do you need to succeed? Must Have • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. • 10+ years as a software/platform engineer, with a track record of designing and delivering large-scale distributed data and AI platforms. • Practical experience with Architecture as Code (AaC) — defining and maintaining system architecture in version-controlled, machine-readable formats (Finos CALM, DSL, or equivalent), integrated with CI/CD validation and automated diagram generation. • Practical experience building and deploying Agentic AI systems — LLM-based agents, multi-step reasoning workflows, tool-use patterns, RAG architectures, embedding-based search, and agent orchestration frameworks (LangGraph, CrewAI, AutoGen, or equivalent). • Strong engineering fundamentals — proficiency in Python, Java, or Go; infrastructure-as-code (Terraform); containerization (Docker); policy-as-code; and modern API design (REST, gRPC, GraphQL). • A practitioner of both Enterprise Data Architecture and Solution Architecture with a track record of meeting both program and delivery outcomes based on their architectures. • Grounded in software and system engineering design principles for data and integration architecture, security, automation, orchestration, and Data Observability Engineering. • Working experience with multiple data storage and analysis toolsets — including cloud object stores (Blob/S3), data processing (ADF/Glue/Databricks, Snowflake, Starburst Trino), and streaming (Kafka/Kinesis). • Strong DevOps foundation — CI/CD, containerization, observability and telemetry, SLA-driven reliability engineering, and secure cloud operations (secrets management, IAM, encryption, network security). • Demonstrated experience influencing senior technical and business leaders, with the ability to clearly articulate engineering trade-offs and drive cross-team decisions. • Experience with Agile methodologies, continuous improvement mindset, and security-first development practices. • Strong leadership skills and demonstrated experience with programs/projects involving complex integration of technologies/platforms across functional technical teams. • Demonstrated ability in written and oral communication skills along with strong presentation skills. Nice to Have • Familiarity with multi-agent orchestration patterns — task decomposition, tool-use pipelines, agent memory management, and human-in-the-loop workflows at enterprise scale. • Experience with agent evaluation frameworks, safety guardrails, and responsible AI deployment in production. • Experience with data quality and contract validation frameworks — Great Expectations, Soda, Monte Carlo, or equivalent tools for data observability and automated contract enforcement. • Experience with data governance and catalog platforms — Collibra, or equivalent for metadata management, stewardship, and policy enforcement. • Contributions to open-source engineering or AI projects; active participant in the broader engineering community. • Cloud cost optimization and FinOps experience for data and AI What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Flexible work/life balance options Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Opportunities to building close relationships with clients Access to a variety of job opportunities across business and geographies #LI-POST #TECHPJ Job Skills Architectural Modeling, Critical Thinking, Data Architecture Development, Data Warehousing (DW), Decision Making, Enterprise IT Architecture, Information Technology Consulting, Information Technology Trends, Multi-Level Communication, Physical Database Design Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-07-05 Application Deadline: 2026-07-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

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Responsibilities

Lead the end-to-end engineering of enterprise-grade data applications and operationalize Architecture as Code. Design data product reference architectures, implement a unified Semantic Layer, and deploy autonomous AI agents for architectural decisioning.

Principal, Data Engineering & Architecture at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 10 year(s)

Online Data Analyst - French Speakers (WFH) at TELUS Digital Bulgaria

, , Canada - Full Time

Skills Needed
French Proficiency, Online Research, Data Verification, Data Analysis, Search Engine Proficiency, Map Evaluation

RQ10554 - Database Administrator - Senior at Maarut

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 10 year(s)

Sr. Manager, Data Engineering & Analytics at Serve Robotics

Alberta, Alberta, Canada - Full Time

Skills Needed
N/A

Data Migration Specialist — 12- month contract at Catalis Holdco Inc

Edmonton, Alberta, Canada - Full Time

Experience Required
Minimum 2 year(s)

Data Entry Clerk / Office Assistant – Canada at Burjline Builders

Saskatchewan Beach, Saskatchewan, Canada - Full Time

Manager, Customer Operations & Data Services at Staples Canada

Richmond Hill, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Data Engineer with Colorado Avalanche- Contract at Legends at Ball Arena

Quinte West, Ontario, Canada - Full Time

Skills Needed
Etl Architecture, Database Architecture, Sql, Query Optimization, Git, Back End Software Design, Spark, Databricks, Azure, Front End Development, Data Integration, Problem Solving

Experience Required
Minimum 2 year(s)

Cloud Data and Application Solution Specialist at 7NXT Health Group

Vancouver, British Columbia, Canada - Full Time

Experience Required
Minimum 2 year(s)

Data Collection and Administrative Assistant at PCRS General

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Data Collection, Administrative Support, Salesforce, Waitlist Management, Reporting, Time Management, Planning, Electronic Filing, Data Management, Scheduling

Experience Required
Minimum 2 year(s)

Lead Data Platform Engineer (German Speaker) at Jobgether

, , Canada - Full Time

Experience Required
Minimum 5 year(s)

Senior Staff Software Engineer - Data Platform at MQ Referrals Only

Vancouver, British Columbia, Canada - Full Time

Experience Required
Minimum 10 year(s)

Manager, Cards Credit Strategy and Data Science at Royal Bank of Canada

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Flight Centre - Junior Data Engineer - Toronto, ON at Flight Centre

, Ontario, Canada - Full Time

Skills Needed
Data Pipelines, Python, Pyspark, Power Bi, Sql Server, Azure Data Lake, Azure Blob Storage, Agile Methodologies, Data Architecture, Lakehouse, Data Security, Technical Documentation

Senior Product Manager, Enterprise Data Governance at Asana

Vancouver, British Columbia, Canada - Full Time

Experience Required
Minimum 5 year(s)

Manager, Cards Credit Strategy and Data Analytics at Royal Bank of Canada

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Sales Engineer at Entrust Datacard

Kanata, ON, Canada - Full Time

Skills Needed
N/A

Qualification
Graduate

Experience Required
Minimum 5 year(s)

Fulfillment Operations Support at Entrust Datacard

Ottawa, ON, Canada - Full Time

Skills Needed
Salesforce, Supply Chain, Operations, Communication Skills, International Business

Specialization
High tech logistics

Qualification
Graduate

Experience Required
Minimum 3 year(s)

SAP Architect at Data Science Lab

Ontario, Ontario, Canada - Full Time

Skills Needed
N/A

Principal, Engineer (SAP) at The Database Dept

Ontario, Ontario, Canada - Full Time

Skills Needed
N/A

Data Scientist Jobs in Canada