“Snowflake AI Data Cloud” jobs in Canada – Page 9

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• 26d

  Director, data architecture & information management

  Toronto, ON

  NM

  National Money Mart Company

  10+ YOECandidates need a bachelor's degree in a related field and 10+ years of enterprise data architecture and modeling experience. They must have led MDM initiatives, set architecture standards, and worked with senior business and technology leaders.

  Snowflake, dbt

  27d

  Senior data scientist

  Toronto, ON

  NM

  National Money Mart Company

  5+ YOECandidates need a Master's degree with 5+ years of hands-on data science experience, or a PhD with 2+ years, plus advanced Python and SQL skills. Financial services experience and knowledge of machine learning and predictive modeling are strongly preferred.

  Python, SQL, Snowflake, Azure, Databricks

• 26d

  Data Engineer

  Remote in Canada

  RemoteFull Time

  

  Accelerant

  2+ YOECandidates need 2+ years as a Data Engineer, experience building on AWS, and skill with Snowflake, SQL and Python. DataOps experience is also required. Experience with dbt, AI and ML, and P&C insurance is an asset.

  AWS, Snowflake, SQL, Python, dbt

• 26d

  Data Architect

  Calgary, AB

  Temporary

  C

  CPKC

  6+ YOECPKC needs candidates with a university degree or equivalent experience, 6+ years in data architecture and modeling, and 3+ years of hands-on Snowflake experience. Strong ETL/ELT, SQL, data governance and stakeholder communication skills are also required.

  Snowflake, SQL

• 27d

  Sr. Solution Architect

  Brampton, ON +1

  

  Rogers Communications: Rogers is Canada’s communications and entertainment company, driven to connect and entertain Canadians.

  Candidates need a university degree in computer science, IT or data management, and strong experience architecting multi-system solutions. They also need hands-on cloud data platform skills, data security and governance knowledge, and experience designing AI or GenAI solutions.

  Azure, AWS, Databricks, Snowflake, Microsoft Fabric, Azure Event Hubs

• 27d

  Forward Deployed Engineer (FDE) (Mid/Senior Level)

  Toronto, ON

  Full Time

  

  Urban Ridge Supplies

  3+ YOECandidates need several years of software or technical delivery experience with a production system, a computer science or related degree, and customer-facing technical delivery experience. They must be fluent in Python, JavaScript/TypeScript, Java or Apex and hands-on with LLMs and prompt engineering.

  Cursor, Claude, Salesforce Data 360, Snowflake, Databricks, BigQuery

  27d

  Forward Deployed Engineer (Data, ML & AI)

  Toronto, ON

  Full Time

  

  Urban Ridge Supplies

  10+ YOECandidates need 10+ years building distributed data or ML platforms, strong customer-facing communication, and advanced Python and SQL. Experience with cloud data services, MLOps tools, LLMs and infrastructure as code is also required.

  Spark, Databricks, Snowflake, Redshift, dbt, Airflow

  27d

  Forward Deployed Engineer (FDE) (Mid/Senior Level)

  Toronto, ON

  Full Time

  

  Urban Ridge Supplies

  3+ YOECandidates need 3+ years of software or technical delivery experience (6-10 for senior), a computer science or related degree, and prior customer-facing technical delivery work. Hands-on experience with LLMs, prompt engineering and at least one of Python, JavaScript/TypeScript, Java or Apex is also required.

  Cursor, Claude, Snowflake, Databricks, Salesforce Data 360

  27d

  Forward Deployed Engineer

  Toronto, ON

  Full Time

  

  Urban Ridge Supplies

  10+ YOECandidates need 10+ years of data or ML engineering experience, strong customer-facing communication, and hands-on skills with Spark, Databricks, Airflow, LLMs, vector stores, Python and SQL. Cloud, containerization and Infrastructure as Code experience and willingness to travel to customer sites are also expected.

  Apache Spark, Databricks, AWS Glue, Snowflake, Redshift, dbt

  27d

  Middle/Senior Forward Deployed Engineer (Python, AI)

  Toronto, ON

  Full Time

  

  Urban Ridge Supplies

  Candidates need advanced Python and SQL skills, plus hands-on experience running LLM-based or agentic systems in production. Client-facing delivery experience and the ability to explain technical work to executives and engineers are also required.

  Docker, Kubernetes, OpenAI Agents SDK, Claude SDK, Model Context Protocol servers

  27d

  Forward Deployed Engineer

  Mississauga, ON

  Full Time

  

  Urban Ridge Supplies

  8+ YOECandidates need 8+ years of enterprise software and full-stack experience, including React, Node.js, TypeScript, Python, Snowflake and Databricks. Experience building AI-enabled prototypes, and communicating with executives and subject matter experts, is required.

  Snowflake, Databricks, React, Node.js, TypeScript, Python

  27d

  Senior AI Engineer

  Brampton, ON

  Full Time

  

  Urban Ridge Supplies

  2+ YOECandidates need 2-3 years of experience and a bachelor's degree in computer science, AI or a related field, plus production Python, LLM integration, RAG knowledge, SQL and cloud/Kubernetes skills. Experience with MCP, agent frameworks or knowledge graphs is a strong asset.

  Kubernetes, BigQuery, Snowflake, OpenAI API, Anthropic API, Google API

  27d

  Lead, AI/Machine Learning Engineer

  Toronto, ON

  $86k–$130k/yrFull Time

  

  Urban Ridge Supplies

  3+ YOECandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.

  Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks

  27d

  Forward Deployed Engineering, US Oncology

  Mississauga, ON

  Full Time

  

  Urban Ridge Supplies

  8+ YOECandidates need 8+ years of enterprise software delivery, hands-on full-stack and data engineering skills, and experience prototyping AI solutions. Strong stakeholder communication and the ability to work independently on complex initiatives are also required.

  Snowflake, Databricks, React, Node.js, TypeScript, Python

  27d

  Senior Forward Deployed Engineer

  Toronto, ON

  Full Time

  

  Urban Ridge Supplies

  8+ YOEUrban Ridge Supplies needs candidates with 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and programming skills, plus clear customer-facing communication, are required.

  Kubernetes, Spark, Airflow, Databricks, Snowflake, AWS

• 27d

  Senior Data Engineer

  Toronto, ON

  $86k–$130k/yrFull Time

  

  Omers

  5+ YOECandidates need 5+ years building enterprise cloud data solutions on Azure, strong Python, PySpark and SQL skills, and hands-on Snowflake and dbt experience. Financial services experience is preferred.

  Microsoft Azure, Snowflake, dbt, PySpark, Python, SQL

• 27d

  Founding AI Quality & Release Engineer

  Remote in Canada

  RemoteFull Time

  

  Raydar

  7+ YOERaydar needs 7 to 15 years in quality, release, platform or software engineering, strong Python, deep experience with GitHub Actions or an equivalent CI system, and hands-on Docker, Kubernetes, Helm and AWS skills. Candidates must hold full work authorization in the US or Canada, as visa sponsorship is not available.

  Python, GitHub Actions, Docker, Kubernetes, Helm, AWS

• 27d

  Solution Architect, Applied AI

  Montréal, QC

  HybridFull Time

  PS

  Plusgrade Solutions Ltd.

  Candidates need deep experience in systems architecture and distributed ML platforms, plus proof of taking AI systems into production. Strong cloud-native and MLOps skills on AWS and Kubernetes, and experience with agentic workflows and LLM orchestration, are essential.

  AWS SageMaker, AWS Bedrock, AWS EKS, Kubernetes, Docker, Snowflake

• 27d

  AI Engineer Intern (Masters)

  Vancouver, BC

  

  Electronic Arts

  Candidates need to be enrolled in a Master's program in computer science or electrical engineering with an AI/ML focus. They also need experience with Python, PyTorch, Docker, Kubernetes, cloud platforms and deploying ML models.

  PyTorch, Docker, Kubernetes, Terraform, Databricks, AWS

• 27d

  Principal Cloud Architect

  Remote in Canada

  RemoteFull Time

  

  Fortive

  8+ YOECandidates need a B.S. in Computer Science or equivalent experience, 8+ years in cloud infrastructure or SRE work, and 5+ years of hands-on AWS architecture. Strong Terraform, Kubernetes, CI/CD, scripting and compliance (SOC 2, ISO 27001, GDPR) experience is required.

  AWS, Terraform, Kubernetes, Docker, GitHub Actions, Octopus Deploy

• 27d

  Senior Solutions Principal

  Toronto, ON

  Full Time

  

  Dell

  5+ YOECandidates need 5+ years in a customer-facing technical role, plus proven delivery of data, analytics or AI solutions. Hands-on experience with a major cloud platform and a leading data platform is required, along with strong communication skills for senior audiences.

  Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse

• 27d

  Feature Lead – Technology

  Toronto, ON

  Full Time

  ML

  Merrill Lynch Canada Inc.

  10+ YOECandidates need 10+ years in software engineering or technology leadership, strong hands-on Java, Python and SQL skills, and experience with large enterprise and distributed systems. Agile delivery and influencing technology direction across teams are also required.

  Java, Python, SQL, React, Angular, TypeScript

• 27d

  Sr. Manager/ Associate Director - Analytics Consulting (Commercial Pharma)

  Toronto, ON

  RemoteFull Time

  

  Tiger Analytics Inc.

  15+ YOETiger Analytics needs 15+ years in commercial pharma analytics or data product management. Candidates must know commercial pharma functions, industry datasets, and tools such as SQL, Snowflake and Power BI.

  Snowflake, Databricks, Power BI, Tableau, SQL, AWS

  27d

  GenAI Data Engineer

  Toronto, ON

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need experience building data pipelines and cloud ETL/ELT processes on Snowflake and GCP, plus Dataiku expertise. They should be able to apply AI document and text tools and tune complex SQL and Python at petabyte scale.

  Dataiku, Snowflake, Snowpark, BigQuery, Cloud Storage, Dataflow

13 companies