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Added 29 mins ago
PV
Temporary part-time (70% - 26 hrs and 15 min per week) Administrative Assistant - Emerald Ridge Elementary
Prairie Valley School Division
White City, SK
- Part-time
The Administrative Assistant is responsible for providing general administrative assistance and support to the Principal and Vice-Principal and organizing and maintaining an efficient…
Added 29 mins ago
PV
Temporary part-time (50% - 18 hrs and 45 min per week) Administrative Assistant
Prairie Valley School Division
White City, SK
- Part-time
The Administrative Assistant is responsible for providing general administrative assistance and support to the Principal and Vice-Principal and organizing and maintaining an efficient…
Added 45 mins ago
W
Associate Technical Consultant, Geotechnical Engineer
Worley
Oakville, ON · Markham, ON · Vancouver, BC · Calgary, AB
- Full-time
Principal Geotechnical Engineer, P.Eng. – Tailings and Dams
Added 45 mins ago
U
Sr. Services Project Manager - Bilingual (French/English) / Gestionnaire principal(e) de projets de services - Bilingue (Français/Anglais)
UKG
Remote, Canada
- Full-time
- Remote
Added 1 hour ago
PG
Principal Full Stack Developer (AI Product)
Publicis Groupe Holdings B.V
Toronto, ON
- Temporary
Location & Eligibility: Candidates must be based in Canada, with valid Canadian work authorization of at least 12 months
Added 1 hour ago
MG
Clinical Research Coordinator
Michael Garron Hospital
Toronto, ON
- Full-time
Society of Clinical Research Associates (SOCRA) certification required
Added 1 hour ago
H
Ingénieur principal en identité et fiabilité :Ping, ForgeRock/ Sr. Identity & Reliability Engineer
HRConnects
Quebec, QC
- Full-time
Spécialiste principal(e) en ingénierie de l’identité et de la fiabilité – Ping / ForgeRock
Added 1 hour ago
P
Quality Assurance Analyst
Planisware
Montreal, QC
- $70,000 to $80,000 CAD / year
- Full-time
…logicielles réalisées par nos équipes de conseil. Votre objectif principal sera d’assurer la vérification des développements de nos consultants et de contrôler la bonne application de nos…
Added 1 hour ago
HS
Education Assistant - St. Paul School
Holy Spirit Catholic School Division
Lethbridge, AB
- Part-time
…the Inclusive Education Lead, the classroom teacher, and the…
Added 1 hour ago
CI
DevOps Principal·e / Principal DevOps
Cloud Imperium Games Montreal
Montreal, QC
- Full-time
Surveiller les alertes et les incidents afin d'agir immédiatement pendant votre quart de travail ou après les heures de travail si vous êtes sur appel
Added 1 hour ago
J&
Senior Manager, North America Regulatory Leader
Johnson & Johnson Innovative Medicine
Toronto, ON
- Full-time
Added 1 hour ago
RT
Senior Principal Engineer
Raising The Village
Remote, Canada
- Full-time
- Remote
We are seeking a Principal Engineer who combines deep technical expertise with strong people leadership. The Principal Engineer & Engineering Manager is a senior technical leadership role…
Added 1 hour ago
M
Senior Manager, Valuations
MNP
Vancouver, BC
- Full-time
Faites votre marque au sein du groupe Évaluation d’entreprises à titre de directeur(trice) principal(e). Cette équipe diversifiée de professionnels travaille avec nos clients sur une…
Added 2 hours ago
TU
Research Associate
The University of British Columbia
Kelowna, BC
- Full-time
…personnel, faculty and external partners, and represents the principal investigator and laboratory in research meetings and other stakeholder…
Added 2 hours ago
U
Sr. Services Project Manager - Bilingual (French/English) / Gestionnaire principal(e) de projets de services - Bilingue (Français/Anglais)
UKG
Canada
- Full-time
Added 2 hours ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
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…
Added 2 hours ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
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…
Added 2 hours ago
R|
Clinical Research Manager
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Under the supervision of the Study Principal Investigator and following established governmental guidelines and regulations, the Clinical Trial Project Manager is responsible for the…
Added 2 hours ago
R|
Clinical Research Coordinator
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Communicate with the principal investigator, sub-
Added 2 hours ago
K
Backend Engineer
Kablamo
Toronto, ON
- Full-time
Added 2 hours ago
C|
Director of Human Resources & Organizational Learning
CCRW | CCRT
Toronto, ON
- Full-time
Added 2 hours ago
Principal Project Manager Rail Systems
Mott MacDonald
Calgary, AB
Mott MacDonald is seeking a Principal Project Manager Rail Systems to join our Calgary team. The role will provide senior leadership across rail systems engineering, integration and project…
Added 3 hours ago
R
SAP Solution Architect
Raise
Oshawa, ON
- Full-time
10+ years of SAP experience, including at least five years as a Lead Solution Architect, Principal Consultant, or equivalent senior SAP architecture role (solution, technical, or…
Added 3 hours ago
WI
Executive Assistant
WSP in Canada
Gatineau, QC
- Full-time
Added 3 hours ago
SS
Marchés Privés - Comptabilité et administration des fonds, associé/e principal/e/Privates Markets- Fund Accounting & Administration, Senior Associate , Senior Associate
State Street
Montreal, QC
- Full-time
En tant qu’associé principal, vous serez responsable de la préparation, de l’analyse et de la production de rapports sur les données de rendement des placements et des fonds pour les fonds…

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, data quality, governance, self-service analytics, and technical standards.

Requirements

Requires 10 or more years of experience owning large-scale production data systems, with hands-on expertise in Python, Spark or PySpark, advanced SQL, streaming technologies, modern data platforms, and AWS services. Candidates should also bring experience with LLM and RAG systems, reliable ETL/ELT pipelines, data governance, 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
Advanced SQL
Kafka
Flink
Spark Streaming
LLMs
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Feature Engineering
Feature Stores
ETL/ELT
Airflow
dbt
AWS
EMR
Glue
S3
Snowflake
Iceberg
Product Telemetry
Behavioral Analytics
Data Governance
Data Quality

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Work requirements

Jobs in Canada