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Added 1 hour ago
KG
AWS Cloud DevOps Engineer (Payments Domain)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: AWS Cloud DevOps Engineer (Payments Domain)
Added 13 hours 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 13 hours ago
IS
DevOps & Cloud Infrastructure Engineer
Idealogical Systems Inc
Markham, ON
- Full-time
LogicalDox is a growing technology company seeking an experienced DevOps & Cloud Infrastructure Engineer to own our cloud infrastructure, deployment pipelines, automation, and operational…
Added 17 hours ago
T
Senior Manager, Engineering
TD
Toronto, ON
- Full-time
Lead a team of engineers to design, engineer, and coordinate execution of IAM related components for new service delivery, platform enablement & enhancements, and cloud migrations on our…
Added 22 hours ago
S
Identity and Cloud Security Engineer
Synechron
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…transformation d’un environnement de gestion des identités et des accès (IAM). Le candidat retenu jouera un rôle essentiel dans le renforcement de la sécurité des identités, la gestion des…
Added 23 hours ago
B
Principal Architect, AI Platform
BMO
Toronto, ON
- Full-time
Lead assessment of emerging AI capabilities, foundation models, and architectural approaches; translating rapid market change into deliberate, defensible architectural positions for the…
Added 1 day ago
Y
Senior Cloud Contact Center Engineer
Yochana
Toronto, ON
- Contract
· Lead the design, development, implementation, and support of enterprise Contact Center solutions.
Added 1 day 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 1 day ago
A
Senior Security Engineer
Amyantek
Mississauga, ON
- Full-time
Security Engineer with focus on IAM – this is the first Identity & Access Management (IAM) – Major priority. The organization is migrating from ADFS to a new platform, involving…
Added 4 days ago
TI
Ping Engineer
Themesoft Inc.
Toronto, ON
- Contract
o Must have a working knowledge of LAN/WAN/Firewall/VPN network technologies, monitoring, and support best practices
Added 4 days ago
EL
Security DevOps Engineer
EnStream LP
Toronto, ON
- Full-time
EnStream is seeking a Security DevOps Engineer to join our team as a full-time, hands-on engineer who splits their time evenly between cloud security and DevOps. Working alongside our…
Added 4 days ago
F
Senior Platform Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
…involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a…
Added 4 days ago
FW
Senior Platform Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
…involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a…
Added 5 days ago
SF
Senior Application Security Engineer
Spring Financial
Vancouver, BC
- Full-time
As a Senior Application Security Engineer at Spring, you are a technical leader and a trusted problem solver who works at the intersection of security, engineering, and the business. You…
Added 5 days ago
C
Senior Software Engineer
CARFAX
London, ON
- $93,000 to $139,000 CAD / year
- Full-time
Join Team CARFAX as a Senior Software Engineer
Added 5 days ago
T
TekRek - Senior Application Security Engineer
TekRek
Vancouver, BC
- $130,000 to $150,000 CAD / year
- Full-time
…It’s primarily an individual contributor seat, with room to lead a small team as the function…
Added 5 days ago
P
Senior Cloud Platform Lead, Senior Manager
PwC
Ottawa, ON · Toronto, ON
- Full-time
Recommend and implement authentication and authorization strategies using common cloud patterns (e.g. SSO, OAuth, OIDC, service accounts, IAM, etc.).
Added 5 days ago
AI
UiPath Cloud & Infrastructure Engineer
Apptoza Inc.
Toronto, ON
- Contract
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 5 days ago
AI
RPA Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 5 days ago
AI
RPA UiPath Engineer
Apptoza Inc.
Toronto, ON
- Contract
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 5 days ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Exposure to cross-border payment ecosystems, ISO 20022 messaging, and core banking integration patterns
Added 6 days ago
AI
AWS Big Data Platform Engineer (Netezza to AWS Migration)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 6 days ago
AI
RPA Platform Engineer with infrastructure exp
Apptoza Inc.
Toronto, ON
- Contract
Role - RPA Platform Engineer with infrastructure exp
Added 6 days ago
AI
RPA Platform Engineer with infrastructure exp
Apptoza Inc.
Toronto, ON
- Contract
Role - RPA Platform Engineer with infrastructure exp
Added 6 days ago
MT
DevOps and Security Engineer
Martello Technologies
Ottawa, ON · Kanata, ON
- Full-time
This is an Ottawa based hybrid role and you must reside in Ottawa at the time of hire

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