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Data Expert Jobs in Quebec (NOW HIRING)

Expert level SQL development and query optimization * Experience building ETLELT solutions and data pipelines * Good understanding of data warehousing dimensional modeling and data lake architecture

Expert-level understanding of machine learning theories and methodologies. * Specialization ... data mining frameworks and tools: R, Python, GitHub. * Team spirit: Strong enthusiasm for ...

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork ...

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork ...

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork ...

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork ...

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork ...

They act as the lead expert responsible for designing, evolving, and operating robust, scalable, and high-performance data solutions that meet the needs of development, production, analytics, and AI ...

Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career. About the Role We are seeking a Staff Data Developer to ...

Science des donnees et DevOps. Notre programme Expert offre aux professionnels experimentes l'acces ... This position is for a data engineering role in the MongoDB and Kafka squad. We are a highly ...

Showing results 21-40

Data Expert information

What is the difference between Data Expert vs Data Analyst?

AspectData ExpertData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP, Microsoft Data AnalystBachelor's in related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates across departments, often involved in strategic data initiativesAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Expert typically has a broader scope, focusing on complex data strategies and cross-departmental projects. A Data Analyst primarily interprets data, creates reports, and supports operational decisions. The roles often overlap, but Data Experts usually possess more advanced skills and responsibilities.

Infographic showing various Data Expert job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 9 days ago


Canadian National Railway rating

7.5

Company rating: 7.5 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

136th of 361 rated logistics


Job description

Expert Solution Architect

At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you're part of making sure our business is running optimally and safely-helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us! 

Job Summary

We are seeking a highly skilled AI Architect to lead the hands-on design, development, and implementation of our data and AI platforms on Google Cloud Platform (GCP) and Databricks. This is a practical, hands-on role requiring you to not only architect solutions but also to actively build, test, and deploy them. The ideal candidate will be a thinker with deep, demonstrable technical expertise in building and scaling end-to-end AI solutions, including Conversational AI and Agentic AI systems. You will play a critical, hands-on role in executing our data strategy, driving innovation, and enabling data-driven decision-making across the organization.

Responsibilities

Architecture & Design:

  • Contribute to the hands-on design of our end-to-end Databricks Lakehouse platform, from data ingestion and processing to consumption and governance.
  • Architect and design AI solutions built on Databricks and/or GCP Vertex AI, Gemini, etc.
  • Design and prototype advanced AI systems, including conversational AI (chatbots, voice assistants) and autonomous agentic AI frameworks.
  • Actively integrate traditional ML and cutting-edge Generative AI models into our data ecosystem using MLflow and other MLOps best practices.

Engineering & Implementation:

  • Build, test, and deploy conversational AI and agentic AI solutions, leveraging large language models (LLMs) and frameworks like Google's Vertex AI and open-source alternatives within the Databricks Platform.
  • Personally build and deploy real-time streaming solutions using Structured Streaming to enable timely insights for AI models.
  • Contribute to optimize initiatives of data and AI pipelines for performance, cost, and scalability, ensuring the efficient use of our cloud resources.

Cloud & Platform Expertise:

  • Hands-on expert on both GCP and Databricks, providing practical guidance on best practices, security, and governance.
  • Design and implement solutions that leverage the best of both platforms, including hands-on work with services like Databricks, Google Cloud Storage, BigQuery, and Vertex AI (including the Gemini family of models).
  • Take direct responsibility for implementing robust access controls, encryption, and other security measures to ensure the security and compliance of our data platform.
  • Continuously monitor, troubleshoot, and optimize our platform for cost and performance.

Must have at least 5+ years of experience within the field Solution and or system architecture.

About CN 
CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada's Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network,CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results. 


What Canadian National Railway employees say

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