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Added 7 mins ago
CC
Operational Technology Specialist
Coca-Cola Canada Bottling Limited
Montreal, QC
- Full-time
Lead and assist OT network systems and IT operations at the production facility, ensuring timely resolution of technical issues and continuous improvement of operational performance.
Added 7 mins ago
E
Service Automation Technician
Epiroc
Vancouver, BC
- Full-time
Rotational shifts: 7 days on, 7 days off - 12 hour shifts OR 14 days on, 14 days off - 12 hour shifts
Added 7 mins 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 7 mins ago
E
Service Automation Technician
Epiroc
AB · Edmonton, AB
- Full-time
Rotational shifts: 7 days on, 7 days off - 12 hour shifts OR 14 days on, 14 days off - 12 hour shifts
Added 7 mins ago
E
Service Automation Technician
Epiroc
Winnipeg, MB
- Full-time
Rotational shifts: 7 days on, 7 days off - 12 hour shifts OR 14 days on, 14 days off - 12 hour shifts
Added 22 mins ago
DC
Office Administrator
Dillon Consulting Limited
Vancouver, BC
- Full-time
This is a full-time, in-office position and requires working from our North Vancouver office five days per week
Added 22 mins ago
RB
Senior Site Reliability Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Lead the design of automation and observability components, from technical direction through to production support
Added 36 mins ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Added 36 mins ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Added 36 mins ago
LS
Senior Project Manager - Permanent - 19607
LRO Staffing
Ottawa, ON
- Full-time
…Manager to join its expanding Project Management Office. You will lead complex hardware projects from $1M to programs of about $20M, running 12 to 36 months, owning client communication and…
Added 37 mins ago
Corporate Project Management Office - Senior Project Manager
Alberta Pensions Services Corporation
Edmonton, AB
Lead multiple projects and programs, balancing scope, schedule, budget, quality, resources, dependencies, issues and risk while maintaining a broader view of portfolio priorities and…
Added 1 hour ago
AI
Inventory Demand Planning & Item Master Data Specialist
American Iron & Metal (AIM)
Montreal, QC
- Full-time
…enterprise asset management platform (such as IBM Maximo) based on lead times and seasonal volume…
Added 1 hour ago
K
Software Engineer II - Frontend - Developer Platform
Kraken
Canada
- Full-time
The ability to lead a technical design, explain it clearly, and work with other teams to get changes adopted
Added 1 hour ago
X
Senior Supply Chain Analyst
Xiphos
Montreal, QC
- Full-time
…complex information into clear recommendations that support production continuity and business…
Added 1 hour ago
XO
Communications Specialist
Xtract One Technologies
Toronto, ON
- Temporary
…developing digital-first marketing materials, creating customer and technical documentation, drafting corporate press releases, and assisting the sales team with key…
Added 1 hour ago
T
Staff Engineer, Mechanical Design
Tenstorrent
Toronto, ON
- Full-time
…problems. We are seeking a Staff Mechanical Design Engineer to lead mechanical and thermal productization for next-generation multi-chip AI servers and advanced data center hardware. You…
Added 1 hour ago
C
Engineering Manager, Inference Router
Cerebras
Toronto, ON
- Full-time
As an Engineering Manager, Inference Router, you will lead the team responsible for the intelligent control plane of the fastest generative AI inference platform in the world. Your team…
Added 1 hour ago
K
Backend Engineer
Kablamo
Toronto, ON
- Full-time
As an engineer at Kablamo, you will operate at the frontier of technical possibility, pairing genuine curiosity for modern tools with a commitment to high-impact execution. You will…
Added 1 hour ago
Asphalt Plant Superintendent
Amrize
Calgary, AB
The role requires flexibility to work early mornings, evenings, weekends, overtime, and occasional night shifts to meet operational requirements
Added 1 hour ago
S
Implementation Consultant (Global)
Stripe
Toronto, ON
- Full-time
As an Implementation Consultant, you will lead complex implementations, migrations, product launches, and international expansions. You will define the outcome, align owners and…
Added 1 hour ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Calgary, AB
- Full-time
As an AI Solutions Lead (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with…
Added 1 hour ago
SA
Electronics Technician
Sanctuary AI
Vancouver, BC
- Full-time
Sanctuary AI, a company on a mission to deliver production-ready Physical AI to industry today, is looking to hire a skilled and motivated Electronics Technician to join our Electrical…
Added 1 hour ago
PT
Marketing Manager
ProFound Talent Inc.
AB · Edmonton, AB
- Full-time
Lead a refinement of the corporate website to a best-in-class industry standard: structure, content, technical product presentation, video integration, and lead capture.
Added 1 hour ago
R
Producer, Visual News (English Services) (On-Site)
Radio-Canada
St. John's, NL · Greater St. John's Metropolitan Area
- Full-time
CBC Newfoundland and Labrador is looking for a Producer, Visual News to lead our visual content focus across digital, streaming, social and broadcast platforms.
Added 1 hour ago
R
SAP Solution Architect
Raise
Oshawa, ON
- Full-time
You’ll lead end-to-end solution design and keep business requirements, SAP platforms, integration, security, data, and operations aligned with OPG enterprise architecture strategy. You’re…

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