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Added 17 mins ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC · Greater Vancouver Metropolitan Area
- 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 17 mins ago
C
Staff FPGA Engineer
Cognichip
Toronto, ON
- $184,000 to $222,000 CAD / year
- Full-time
…silicon design and machine learning. As a Staff FPGA Design Engineer, you will fuse chip design expertise with cutting-edge ML to create the intelligent, end-to-end silicon design flows. If…
Added 17 mins ago
I
Cluster Site Reliability Engineer
iFrame
Toronto, ON · Greater Toronto Area, Canada
- Full-time
01 Bring up new B200 / B300 / MI300X racks: cabling, ToR config, NCCL/RCCL all-reduce validation, MFU baseline tests.
Added 1 hour ago
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Technical Marketing Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Sales Pipeline Velocity: Reduction in the average time a technical sale stays in the proof-of-concept (PoC) or technical validation phase.
Added 2 hours ago
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Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic la equipment. This role sits alongside R&D while owning manufacturing-focused test activities…
Added 2 hours ago
SC
Commercial Lead
SYSTRA Canada
Toronto, ON
- Full-time
…management excellence and continuous improvement including the validation of project requirements (including feasibility studies and cost analyses as required) and recommends commercial…
Added 2 hours ago
EP
Ingénieur de Projet Senior [Hybride] | Senior Project Engineer [Hybrid] - FR
EDF power solutions North America
Montreal, QC
- Full-time
Scope of Job : The Senior Project Engineer is responsible for leading and overseeing the technical coordination of projects engineering for grid scale projects from development through…
Added 2 hours ago
MM
Manufacturing Engineer
Modine Manufacturing Company
Calgary, AB
- Full-time
…corrective action ensuring timely completion, implementation, validation, and documentation of…
Added 3 hours ago
AM
Standard Cell Design & Characterization Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are seeking an experienced Standard Cell Design & Characterization Engineer to join our department, which is responsible for developing standard cell libraries, supporting third-party…
Added 4 hours ago
IG
Site Reliability Engineering
Insight Global
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Day 2 service operations readiness, including SRM, SLM, security management, problem management, incident management, capacity management, and billing/usage validation
Added 4 hours ago
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DCN Manufacturing Engineer
SLB
Canada
- Full-time
SLB is seeking a highly motivated Manufacturing Engineer to join its Data Center business. This individual will play a key role in supporting manufacturing operations by driving process…
Added 5 hours ago
IG
Senior Power BI Developer
Insight Global
Toronto, ON
- $57 to $64 CAD / hour
- Contract
Advanced experience as a Senior BI Developer, Data Analytics Engineer, Data Engineer, or similar data-focused position.
Added 5 hours ago
SR
Processing/geological engineer
Stirling Rarus Mineral Corp.
Saskatoon, SK
- Contract
Role Description The Processing/Geological Engineer will play a key role in supporting validation and IP processing initiatives, working in a contract, hybrid capacity based in Saskatoon,…
Added 6 hours ago
OM
Systems Engineering - Systems Engineer - P3
OSI Maritime Systems
Burnaby, BC
- Full-time
The Systems Engineer P2 is part of the engineering team that develops marine navigation and bridge systems for OSI’s government and naval markets. The Systems Engineer plays a critical role…
Added 6 hours ago
S
Global Methods Engineer - Machining
Safran
Mirabel, QC
- Full-time
Day shift, Monday to Friday, 38 hours per week
Added 7 hours ago
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Director - Engineering
Mace
Toronto, ON
- Full-time
Lead the review and validation of permanent way, rail structures, special railway infrastructure and alignment designs, ensuring compliance with relevant organizational standards, AREMA…
Added 7 hours ago
C
Feature Modeling Engineer (MBSE / SysML)
Collabera
Windsor, ON
- $40 to $45 CAD / hour
- Contract
The Feature Modeling Engineer (FDME) is responsible for providing:
Added 7 hours ago
M
Systems and Safety Assurance Engineer
Mace
Toronto, ON
- Full-time
Licensed Professional Engineer (P.Eng.) in good standing with Professional Engineers Ontario (PEO).
Added 7 hours ago
VG
AI Engineer
Veralto Global
London, ON
- $90,000 to $120,000 CAD / year
- Full-time
At Trojan Technologies, we're looking for an AI Engineer to help build and scale our AI capabilities across the organization.
Added 7 hours ago
MC
Azure Databricks Cloud Migration & Platform Engineer (36101)
Myticas Consulting
Toronto, ON
- Contract
Azure Databricks Cloud Migration & Platform Engineer
Added 7 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 7 hours ago
OM
Systems Engineering - Sr. Systems Engineer P4
OSI Maritime Systems
Burnaby, BC
- Full-time
The Systems Engineer 4 is part of the engineering team that develops marine navigation and bridge systems for OSI’s government and naval markets. The Systems Engineer plays a critical role…
Added 7 hours ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
The Network Service Engineer will work closely with Commercial, Product, Sales Engineering, Customers, Network Engineering, and external contractor teams to provide technical guidance on…
Added 7 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 7 hours ago
MC
Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Cybersecurity Test Engineer to l execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations. This role is…

Autodesk

Principal Data Engineer, User Success (Agentic Experiences)

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, 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+ years of experience owning large-scale production data systems, with hands-on expertise in Python, Spark/PySpark, advanced SQL, streaming technologies, modern data platforms, and AWS. Candidates should also have experience with LLM and RAG systems, reliable ETL/ELT pipelines, data governance, and leading cross-functional technical initiatives.

Skills

Python
Spark
PySpark
Advanced SQL
Data Engineering
Batch and Streaming Pipelines
Kafka
Flink
LLM Ecosystems
Embeddings
Vector Databases
Retrieval-Augmented Generation
AWS
Data Governance
Feature Engineering
Product Analytics

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Platforms
Distributed Systems
Python
Spark
PySpark
SQL
Kafka
Flink
Spark Streaming
LLMs
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Feature Stores
RAG Evaluation
ETL/ELT
Data Quality
Data Observability
Data Governance
Data Lineage
Data Cataloging
Product Telemetry
Behavioral Analytics
Experimentation
AWS
EMR
Glue
S3

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Work requirements

Jobs in Canada