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Added 2 mins ago
Sr. Cyber Security Advisor
Rogers Communications
Brampton, ON · Calgary, AB
Lead cybersecurity risk and security controls/requirements assessments.
Added 17 mins ago
C
Stage coopératif - Hiver 2027: Développeur(euse) logiciel (4 mois)
CGI
Saguenay, QC
- Full-time
Under the supervision of a senior developer or technical lead, you will have the opportunity to:
Added 17 mins ago
C
Senior Software Developer- Cloud & Data Platforms
CGI
Halifax, NS
- Full-time
Lead end-to-end software development activities, from requirements analysis and solution design through implementation, deployment, and production support.
Added 17 mins ago
VB
Sr. Manager of Projects Controls - Canada
Vale Base Metals
Toronto, ON
- Full-time
You are a highly experienced cost engineering and project controls professional with a strong background in capital project estimating, cost control, forecasting, and governance. You…
Added 17 mins ago
R-
Director, Data & Analytics
RCL - Reitmans Canada Ltd/Ltée
Montreal, QC
- Full-time
Lead the enterprise Data & Analytics strategy and roadmap, establishing a clear vision, priorities, and multi-year roadmap for data, analytics, and AI capabilities aligned to RCL’s broader…
Added 47 mins ago
A
Electrical Technologist
Actalent
Toronto, ON · Etobicoke, ON
- $35 to $48 CAD / hour
- Full-time
Assist the test lead in preparing detailed test plans and test log sheets to ensure accurate documentation of test parameters and results.
Added 47 mins ago
A
Ingénieur En Fiabilité/ Site Reliability Engineer
Actalent
Montreal, QC
- $60 to $85 CAD / hour
- Contract
Vous travaillez principalement sur site trois jours par semaine dans une installation moderne et récemment construite
Added 1 hour ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC
- Full-time
Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
Added 1 hour ago
CS
Youth Experience Assistant (Calgary)
Circuit Stream
Calgary, AB
- $20 CAD / hour
- Internship
…chance to explore what they might want to do next, from AI, engineering, medicine and business to psychology, sports, outdoor adventure and more. Through partnerships with leading…
Added 2 hours ago
O
Applied AI Architect, Cyber
OpenAI
Remote, Canada
- $236,000 to $262,500 CAD / year
- Full-time
- Remote
Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases.
Added 2 hours ago
GC
Lead Environment, Water Compliance
Glencore Canada
Sparwood, BC
- $108,000 to $127,000 CAD / year
- Full-time
Reporting to the Senior Lead, Environment, the Lead Environment, Water Compliance is responsible for executing programs vital to ensuring compliance related to surface and ground water at…
Added 2 hours ago
SC
Technical Specifications Coordinator
SYSTRA Canada
Montreal, QC
- Full-time
Reporting to the workstream Design Director and working in close collaboration with discipline leads, system engineering teams, civil infrastructure, rail systems, procurement, and project…
Added 2 hours ago
C
CNC Machine Operator - Precision Equipment
CyberCoders
Chatham, NB
- $30 to $32 CAD / hour
- Contract
Added 2 hours ago
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Lead Principal Core Infrastructure Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
- Full-time
–Lead the identification of performance and scalability bottlenecks and recommend solutions to optimize code and/or systems for large-scale data processing and high-throughput requirements…
Added 2 hours ago
O
Senior Data Center Support Services Technician
Oracle
Montreal, QC
- $53,900 to $88,500 CAD / year
-Collaborates across teams to lead the delivery of impactful work and provide support for critical team objectives. Leverages advanced understanding of business, stakeholder, and/or…
Added 2 hours ago
E
Manager of Insights and AI
Equinix
Toronto, ON
- Full-time
Reporting to the Chief of Staff, this role will lead measurement and insights across Global Communications, partnering with functional and regional leaders to define meaningful measures,…
Added 3 hours ago
R(
Director, Data & Analytics
Reitmans (Canada) Ltée/Ltd
Montreal, QC
- Full-time
Lead the enterprise Data & Analytics strategy and roadmap, establishing a clear vision, priorities, and multi-year roadmap for data, analytics, and AI capabilities aligned to RCL’s broader…
Added 3 hours ago
KÉ
Co-Founder
Kalkia Évolution IA
Montreal, QC
- Full-time
…phone, text, and messaging channels, Kalkia ensures that no lead is neglected and business owners can focus on their core…
Added 3 hours ago
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Director of Finance, Contract
WalterFedy
Kitchener, ON
- Contract
Lead day-to-day financial planning & analysis, budgeting, forecasting, and management reporting for the organization.
Added 3 hours ago
W
Senior Buyer
Worley
Calgary, AB
- Full-time
Must have major EPCM project experience
Added 3 hours ago
F
Structural Material Controller
Fluor
Vancouver, BC
- Full-time
Fluor is one of Canada's top employers and is recognized globally as a leader in the Engineering, Procurement, Construction, Fabrication, and Maintenance industry. Our focus on innovation…
Added 3 hours ago
F
Civil Material Controller
Fluor
Vancouver, BC
- Full-time
Fluor is one of Canada's top employers and is recognized globally as a leader in the Engineering, Procurement, Construction, Fabrication, and Maintenance industry. Our focus on innovation…
Added 3 hours ago
M
Swarm Data Platform Solution Engineer
Microsoft
Toronto, ON
- Full-time
…every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through…
Added 3 hours ago
S
DCN Project Cost and Risk Manager
SLB
Calgary, AB
- Full-time
…expenditures, manage forecasting and reporting processes, and lead the project risk management…
Added 3 hours ago
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Superintendent II, Process
Vale
Sudbury, ON · Greater Sudbury, ON,CA
- Full-time
Must have strong organization and time leadership skills · Must have strong written and oral communication skills

Autodesk

Principal Data Engineer, User Success (Agentic Experiences)

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 27, 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: Oct 20, 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, and agentic workflows. 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 in data engineering, data platforms, distributed systems, or related roles, with production systems ownership and hands-on expertise in Python, Spark/PySpark, SQL, streaming technologies, and AWS. Candidates should also have experience with LLM and RAG systems, reliable ETL/ELT pipelines, modern data platforms, governance, and leading cross-functional technical initiatives.

Skills

Python
Spark
PySpark
Advanced SQL
Data Engineering
Batch and Streaming Pipelines
LLM Ecosystems
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Kafka
Flink
AWS
Data Governance
Cross-Functional Technical 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
Batch Processing
Streaming Data
Kafka
Flink
LLMs
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Feature Engineering
Feature Stores
Data Quality
Data Observability
ETL/ELT
AWS
EMR
Glue
S3
Snowflake
Redshift
Iceberg
dbt
Product Telemetry

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Work requirements

Jobs in Canada