Jobs in Canada

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Added 18 mins ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access
Added 18 mins ago
C
Staff FPGA Engineer
Cognichip
Toronto, ON
- $184,000 to $222,000 CAD / year
- Full-time
Architect modern EDA workflows, from spec to bitstream
Added 18 mins ago
C
Senior Java Full Stack Developer (Angular)
CGI
Canada
- Full-time
Architect and implement RESTful APIs and multi-layered enterprise applications.
Added 33 mins ago
Senior Software Engineer - Reservations
OpenTable
Toronto, ON
This hybrid role requires working in the office two days per week · This is a hybrid opportunity (two days per week on-site) based out of our downtown Toronto, Ontario office
Added 1 hour ago
Principal Network Architect
Rogers Communications
Toronto, ON · Brampton, ON
We are seeking an experienced Principal Network Architect to join our RAN Engineering & Innovation team, which defines, validates, and deploys next-generation wireless technologies.
Added 1 hour ago
N
Optical Systems Architect
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Added 1 hour ago
N
Optical Systems Architect
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Added 2 hours ago
A
Bilingual Enterprise Solutions Architect
Arctiq
Quebec, QC
- Full-time
The Enterprise Solution Architect at Arctiq serves as a key technical pre-sales resource, working closely with Client Directors to identify, qualify, and develop customer solutions across…
Added 4 hours ago
W
Senior Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact…
Added 6 hours ago
A
Enterprise Architecture Team Lead
Affinity
Vancouver, BC
- Full-time
Added 6 hours ago
MR
Intermediate Project Manager - (Water / Wastewater Construction)
Maple Reinders
Mississauga, ON
- $120,000 to $170,000 CAD / year
- Full-time
Added 6 hours ago
LS
Legal Architect, Enterprise - Permanent - 19635
LRO Staffing
Toronto, ON
- Full-time
Hybrid: minimum 2 days per week in office (client site visits count as office days)
Added 6 hours ago
ZC
Engineering Lead
Zaya Care
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
Hands-on full-stack architect: You design and build systems end to end, from React/Next.js to backend services, APIs, databases, and integrations, and still take pride in shipping…
Added 6 hours ago
S
Principal Applied AI Architect
Salesforce
Toronto, ON · Montreal, QC · Canada - Montreal
- Full-time
As a Principal or Distinguished Applied AI Architect, you will be the trusted technical lead for a set of strategic accounts. You’ll help design agentic AI architectures that hold up under…
Added 7 hours ago
E
AI and Data - Senior Manager - Solution Architect/Tech Lead
EY
Calgary, AB
- Full-time
To qualify for the role you must have
Added 7 hours ago
E
AI and Data - Senior Manager - Solution Architect/Tech Lead
EY
Toronto, ON
- Full-time
To qualify for the role you must have
Added 7 hours ago
S
Technical Account Manager
SOTI
Mississauga, ON
- Full-time
Minimum 4+ years in advanced technical positions (implementation specialist, technical support, solutions architect), direct customer advocacy and engagement experience in post-sales or…
Added 8 hours ago
E
Senior Manager, Data Science & Analytics
eBay
Toronto, ON
- Full-time
Architect and deploy predictive models, AI algorithms, and experimental frameworks to unlock high-impact growth opportunities and redefine product strategy.
Added 8 hours ago
Sr Architect
Insight Enterprises, Inc.
Toronto, ON
As a Data Architect, you will serve as a senior technical leader responsible for designing modern data strategies, target-state architectures, and scalable data platforms that enable…
Added 8 hours ago
IF
Senior Software Engineer – Agent Systems
Ink Foundation
Canada
- Full-time
Architect backend services that integrate with multiple internal APIs and data sources
Added 8 hours ago
ZS
GCP Architect
Zortech Solutions
Canada
- Contract
8+ years in cloud architecture roles, with at least 3 years specifically on Google Cloud Platform in an architect or lead capacity.
Added 8 hours ago
IF
Senior Software Engineer – AI Infrastructure
Ink Foundation
Canada
- Full-time
Architect scalable systems capable of supporting millions of users and high request throughput
Added 8 hours ago
IF
Staff Security Architect
Ink Foundation
Canada
- Full-time
We are seeking a skilled & hands-on Senior Security Architect for Kraken Security Labs. Kraken Security Labs provides boutique-style, deeply technical internal security consulting on…
Added 8 hours ago
AM
Senior Web Developer
Alberta Medical Association (AMA)
AB · Alberta, Canada
- $89,069 to $115,790 CAD / year
- Full-time
…responsibilities, the candidate will support the Application Architect in developing technology and architectural methodologies and roadmaps for AMA’s software development…
Added 8 hours ago
D
Software Engineer in Test
Dexian
Mississauga, ON
- Other
We are seeking a visionary and hands-on Senior Software Development Engineer in Test (SDET)/Quality Engineering Architect to define, champion, and drive the global quality engineering…

Autodesk

Principal Data Engineer, User Success (Agentic Experiences)

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 23, 2026
Experience: 10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Posting language: English · French
Posted: Nov 7, 2026

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD98052

Position Overview

At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.

The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform - we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.

As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.

This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.

Responsibilities

Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access
- that support LLMs and agentic workflows
- optimized for:
- - Retrieval (e.g., embeddings, vector search)
  - Contextual data access
  - Real-time and iterative feedback loops
Partner with AI/ML teams to operationalize:
- Feature engineering and feature stores
- RAG-based systems and evaluation pipelines
Ensure data quality and observability meet the needs of AI-driven decision systems
Guide build vs. buy decisions for data tooling and platforms
Enable analysts and product teams with trusted, well-modeled datasets
Improve instrumentation strategy to ensure high-quality behavioral data
Support self-service analytics and AI-assisted exploration
Collaborate across Product, Engineering, Data Science, Research and Design
Influence technical direction without direct authority
Drive alignment on data standards, governance, and best practices
Communicate complex technical concepts to both technical and non-technical audiences

Minimum Qualifications

10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Experience with:
- LLM ecosystems, embeddings, vector databases
- Retrieval-augmented generation (RAG)
- Agent frameworks or orchestration systems
Experience with streaming technologies (Kafka, Flink, Spark Streaming)
Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
Experience with data governance, lineage, and cataloging systems
Exposure to product analytics and experimentation frameworks
Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
Strong communication skills with technical and non-technical stakeholders.

Preferred Qualifications

Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency / Transparence Salariale

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $120,000 and $176,000 Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $120,000 et $176,000 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

Intégration en présentiel et vérification d’identité

This role may require in-person onboarding and/or in-person ID verification.

Read the full bilingual original

Job Requisition ID #

26WD98052

Position Overview

At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.

The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform - we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.

As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.

This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.

Responsibilities

Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access
- that support LLMs and agentic workflows
- optimized for:
- - Retrieval (e.g., embeddings, vector search)
  - Contextual data access
  - Real-time and iterative feedback loops
Partner with AI/ML teams to operationalize:
- Feature engineering and feature stores
- RAG-based systems and evaluation pipelines
Ensure data quality and observability meet the needs of AI-driven decision systems
Guide build vs. buy decisions for data tooling and platforms
Enable analysts and product teams with trusted, well-modeled datasets
Partner with stakeholders to translate product questions into measurable data signals
Improve instrumentation strategy to ensure high-quality behavioral data
Support self-service analytics and AI-assisted exploration
Collaborate across Product, Engineering, Data Science, Research and Design
Influence technical direction without direct authority
Drive alignment on data standards, governance, and best practices
Communicate complex technical concepts to both technical and non-technical audiences

Minimum Qualifications

10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Experience with:
- LLM ecosystems, embeddings, vector databases
- Retrieval-augmented generation (RAG)
- Agent frameworks or orchestration systems
Experience with streaming technologies (Kafka, Flink, Spark Streaming)
Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
Experience with data governance, lineage, and cataloging systems
Exposure to product analytics and experimentation frameworks
Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
Strong communication skills with technical and non-technical stakeholders.

Preferred Qualifications

Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards

Learn More / En savoir plus

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

À propos d’Autodesk

Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être.

Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde.

En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !

Salary transparency / Transparence Salariale

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $120,000 and $176,000 Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $120,000 et $176,000 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

Intégration en présentiel et vérification d’identité

This role may require in-person onboarding and/or in-person ID verification.

Ce poste peut nécessiter une intégration et/ou une vérification d'identité en présentiel.

Apply on LinkedIn About employer

More about this job

Responsibilities

Architect and operate scalable batch and streaming data pipelines and AI-ready data products that support analytics, machine learning, retrieval-augmented generation, and agentic experiences. Partner across product, engineering, data science, research, and design to improve behavioral data quality, governance, self-service analytics, and technical standards.

Requirements

Requires 10+ years of experience owning large-scale production data systems, with hands-on expertise in Python, Spark/PySpark, advanced SQL, streaming technologies, modern data platforms, and AWS. Candidates should also have experience with LLM and RAG systems, reliable ETL/ELT pipelines, data governance, and leading cross-functional technical initiatives.

Skills

Python
Spark
PySpark
Advanced SQL
Data Engineering
Batch and Streaming Pipelines
Kafka
Flink
LLM Ecosystems
Embeddings
Vector Databases
Retrieval-Augmented Generation
AWS
Data Governance
Feature Engineering
Product Analytics

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Platforms
Distributed Systems
Python
Spark
PySpark
SQL
Kafka
Flink
Spark Streaming
LLMs
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Feature Stores
RAG Evaluation
ETL/ELT
Data Quality
Data Observability
Data Governance
Data Lineage
Data Cataloging
Product Telemetry
Behavioral Analytics
Experimentation
AWS
EMR
Glue
S3

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Work requirements

Jobs in Canada