Jobs in Canada

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Added 2 hours ago
L
Senior Technology Director - Merchandise Planning
lululemon
Vancouver, BC
- Full-time
We’re seeking a Senior Director Technology to define and execute a multi year technology strategy that transforms how lululemon merchandises, plans, and deliver products to our guests. This…
Added 3 hours ago
J
Forward Deployed Engineer, Data Engineering & Architecture
Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
Lead successful automation initiatives from initial prototypes and proof of value through to scalable, reusable data products.
Added 7 hours ago
PC
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
- Full-time
…hands-on role will focus on architecting solutions, writing and reviewing code, and solving complex technical challenges - while mentoring developers and shaping technical strategy for the…
Added 7 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 7 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 10 hours ago
ATS Chief of Staff
Celestica International LP
Toronto, ON
Serve as the lead interface for the functions the business supports and interfaces with (e.g. Strategy, IT, Corporate Development)
Added 10 hours ago
P
Associate-Automation Developer
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
- Full-time
Lead the technical design, development and implementation of automations for various technologies that support security operations.
Added 12 hours ago
LC
Enterprise Systems Analyst
Litcom Consulting Inc.
Mississauga, ON
- Full-time
The Enterprise Systems Analyst is the primary owner of PRT's Epicor ERP environment and governs the company's broader system-related projects. Serving as the functional and technical bridge…
Added 13 hours ago
Principal Software Engineer (BE focused/full-stack)- Words With Friends
Zynga
Toronto, ON
We have a well-rounded and tight-knit, distributed team with a healthy mix of engineering skill levels, and we are looking to strengthen our team. We need a self-driven and motivated…
Added 15 hours ago
PF
Responsable de l'architecture logicielle | Head of Software Architecture
Power Factors
Remote, Canada
- Remote
Added 15 hours ago
T
Enterprise Business Development Representative
Teleperformance
Toronto, ON · TPCA Toronto
- Full-time
Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and…
Added 15 hours ago
PF
Responsable de l'architecture logicielle | Head of Software Architecture
Power Factors
Montreal, QC
- Full-time
Added 1 day ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
They provide leadership for technology strategy, infrastructure, business systems, cybersecurity, data governance, digital transformation, and artificial intelligence.
Added 1 day ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
As the senior-most individual contributor on the Forward Deployed Engineering (FDE) team, you will define and drive the technology strategy and roadmap for designing, building, and…
Added 1 day ago
S
AVP, Agentic Development
Sunlife
Toronto, ON
- Full-time
Broad technical judgment across agentic AI, distributed systems, APIs, data pipelines, cloud infrastructure, identity, security and production operations, with the discipline to choose the…
Added 1 day ago
VH
Director, Developer Platform and AI Transformation
Verily Health
Waterloo, ON
- Full-time
The Director of Developer Platform and AI Transformation will lead Verily’s developer platform and enterprise AI enablement strategy. In this role, you will own the tools and infrastructure…
Added 1 day ago
Senior Manager, IT Business Partner
Celestica International LP
Toronto, ON
Next-Gen Tech Innovation: Proactively identify and assess how advanced capabilities - such as Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) - can…
Added 1 day ago
A
Integration Manager – People Tech (Bangkok Based, relocation provided) [SHP]
Agoda
Montreal, QC
- Full-time
Agoda is using a wide range of systems and tools like Workday, Zendesk, Greenhouse, etc. to support its People operations' fast-moving pace and dynamic workforce needs globally. We are…
Added 1 day ago
B
Senior Manager, Technology - Banking Cloud Solutions Leader
BDO
Toronto, ON
- Full-time
We are looking for a Banking Cloud Solutions Leader who combines deep banking experience, Cloud Platform Architect-level technical knowledge, and a demonstrated ability to grow client…
Added 1 day ago
IG
Senior IT Systems Administrator
Innovative Group of Companies
Barrie, ON
- Full-time
Research, design, implement, and support infrastructure and cloud solutions that improve security, resiliency, scalability, and efficiency, and lead or contribute to related projects.
Added 1 day ago
BC
Senior Manager, Technology - Banking Cloud Solutions Leader
BDO Canada
Toronto, ON
- Full-time
We are looking for a Banking Cloud Solutions Leader who combines deep banking experience, Cloud Platform Architect-level technical knowledge, and a demonstrated ability to grow client…
Added 2 days ago
O
Lead Principal Platform Software Engineer
Oracle
Toronto, ON
- $123,900 to $203,600 CAD / year
Acts as subject matter expert to drive improvements, ensures automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability.
Added 2 days ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC
- 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 days ago
O
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 days ago
GC
Senior Manager, FP&A - Central Technology
Game Companies
Vancouver, BC
- Full-time
We're looking for a Senior Manager of Financial Planning & Analysis (FP&A) to lead Finance support for EA's Information Technology (EAIT) and Security organizations. You'll partner with our…

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