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Added 24 mins ago
SM
RQ00838 – Solution Architect – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week
Added 24 mins ago
SM
RQ11865 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 24 mins ago
SM
RQ11688 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 24 mins ago
T
Product Manager, Growth Partnership
Talencore
Toronto, ON
- Full-time
Work Arrangement: Hybrid, onsite 2 days per week
Added 24 mins ago
SM
RQ11883 – Systems Analyst – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 24 mins ago
SM
RQ11882 – Systems Analyst – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 40 mins ago
Staff Engineer, Thermal Design
Tenstorrent
Toronto, ON
Drive thermal design reviews, engineering best practices, and future cooling roadmaps; mentor engineers, manage thermal component integration and lifecycle data in PLM, and produce clear…
Added 54 mins ago
DC
Test Development Engineer
Danaher Corporation
Concord, ON · AB · CAN - Concord - AB Sciex LP
- $110,000 to $123,000 CAD / year
- Full-time
Lead the development, integration, qualification and manufacturing release of in-process functional testers and fixtures for complex electrical and electronic modules.
Added 1 hour ago
W
Administrative Assistant I
Worley
Vancouver, BC
- Full-time
Document Management Systems: Familiarity with engineering data environments (e.g., Aconex, ProjectWise, BIM 360) is highly advantageous.
Added 1 hour ago
Q
Sr Staff Engineer - Verification, CI/CD Infrastructure & Embedded Hardware (AISW)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 1 hour ago
GC
Talent Acquisition & HR Manager
Game Companies
Toronto, ON
- Full-time
This is a hybrid role based in Toronto, with an expectation of working from our Queens Quay West office four days per week · Ability to work from our downtown Toronto office 4 days per week
Added 1 hour ago
UO
Senior Software Developer
University of Victoria
Victoria, BC
- Full-time
…software components for acquiring, publishing and processing data using ONC’s data management and archiving system – Oceans 3.0. The Senior Developer will be involved in the development of…
Added 1 hour ago
SG
Associate Director, North America Regulated Utilities, Infrastructure Ratings
S&P Global
Toronto, ON
- Full-time
Contribute to controlled automation and agentic workflows with appropriate governance and human oversight, partnering with Data and Engineering teams to scale safely.
Added 1 hour ago
F
Process Engineer – Carbon Fiber Manufacturing Operations
Fibernx
AB · Edmonton, AB
- Full-time
This is a hands-on manufacturing engineering position responsible for ensuring stable, efficient, and reliable production operations. The successful candidate will work directly with…
Added 2 hours ago
Founding Research Scientist
SCRY Bio
Toronto, ON
Make the science reproducible and visible. Keep rigorous records and data packages, and share findings clearly with the team, partners, and investors
Added 2 hours ago
L
Staff Technical Program Manager, Central
Lyft
Toronto, ON
- Full-time
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 hours ago
RC
Regional Sales Manager
Rexel Canada
Winnipeg, MB
- Full-time
…build a high performing outside sales team you are proud to lead. Reporting to the General Manager, you will work with our branches and departments to deliver on budgeted sales…
Added 2 hours ago
RT
Senior Principal Engineer
Raising The Village
Remote, Canada
- Full-time
- Remote
Raising The Village’s mission is to build and strengthen pathways out of ultra-poverty through an approach guided by data, designed with communities, and scaled by partnerships. We work…
Added 2 hours ago
RB
Senior Site Reliability Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
A strong understanding of software engineering principles, design patterns, data structures, algorithms and testing techniques, with strong technical knowledge of CI/CD, DevOps and…
Added 2 hours ago
TU
Research Associate
The University of British Columbia
Kelowna, BC
- Full-time
The Research Associate will co-lead the day-to-day operation of Professor William L. Hughes’s laboratory in the School of Engineering at UBC Okanagan. Professor Hughes is a Tier 1 Canada…
Added 2 hours ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
Collaborate across Product, Engineering, Data Science, Research and Design
Added 2 hours ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
Collaborate across Product, Engineering, Data Science, Research and Design
Added 2 hours ago
FA
Maintenance Control Supervisor
Flair Airlines
Toronto, ON
- Full-time
Post-secondary education in Aircraft Maintenance, Aviation, Engineering, or a related field is considered an asset.
Added 2 hours ago
T
Senior Manager, Software Development (Mobile Application)
Tangerine
Toronto, ON
- Full-time
Reporting to the Head of Engineering, Wealth. The Senior Manager of Engineering is responsible for providing leadership and direction on end-to-end technology design and implementation.…
Added 2 hours ago
PC
Salesforce Business Analyst, Senior Associate
PwC Canada
Toronto, ON
- Full-time
Lead requirements gathering sessions with business and operational stakeholders

Autodesk

Principal Data Engineer, User Success (Agentic Experiences)

Toronto, ON, 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 or more years of experience in data engineering, data platforms, distributed systems, or a related field, with ownership of large-scale production data systems. Candidates need hands-on expertise in Python, Spark/PySpark, SQL, streaming technologies, LLM and RAG systems, modern data platforms, AWS, reliable ETL/ELT, and cross-functional technical leadership.

Skills

Python
Spark
PySpark
Advanced SQL
Data Engineering
Distributed Systems
Batch and Streaming Pipelines
LLM Ecosystems
Embeddings
Vector Databases
Retrieval-Augmented Generation
Kafka
Flink
AWS
Data Governance
Cross-Functional Leadership

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Platform Engineering
Distributed Systems
Python
Spark
PySpark
SQL
Scripting
LLM Ecosystems
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Kafka
Flink
Spark Streaming
Feature Engineering
Feature Stores
Data Governance
Data Lineage
Data Cataloging
Product Analytics
Experimentation
ETL/ELT
Iceberg
Snowflake
Redshift
Athena
AWS
Airflow

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Work requirements

Jobs in Canada