Find work in Canada.

322,985 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 8 mins ago
Casual Dishwasher Verve Aspen Woods (2026-10787)
Verve Senior Living
Calgary, AB
Other
…the back of house. Under the direction of the Dining Services Manager or designate, our Dishwashers follow established policies and procedures and assume responsibility for cleanliness of…
Added 11 mins ago
Industrial Services Manager
Da-Lee
Hamilton, ON · Stoney Creek, Ontario
Full-time
is responsible for overseeing the planning, execution, and delivery of specialized industrial cleaning and maintenance services, including vacuum truck operations, confined space entry,…
Added 11 mins ago
Project Coordinator
Farmboy Fine Arts
Vancouver, BC
Full-time
Reporting to the Senior Manager of Delivery, the Project Coordinator is a highly organized, administratively focused, and detail-oriented team member responsible for record keeping,…
Added 11 mins ago
Manager of Support Services (Food & Housekeeping)
Maquise
Winnipeg, MB
Full-time
Now, if you were to come on board as our Manager of Support Services (Food & Housekeeping), we’d ask you to do the following for us:
Added 11 mins ago
Chef Manager
Maquise
Winnipeg, MB
Full-time
The Manager is responsible for monitoring and evaluating meal preparation and service to ensure established standards are maintained for both quality and quantity of all meals and snacks.…
Added 11 mins ago
Caseworker [Housing First] - (Term, Full-time) #2026044
John Howard Society Of Saskatchewan
Regina, SK
Full-time
Under the supervision of the Program Manager, or designate, the Caseworker will assist in case management, service delivery, supervision of participants, and the household operations.
Added 11 mins ago
183-26-3 Release from Custody and Concurrent Disorder Case Manager
Six Nations
Ohsweken, ON
Full-time
RELEASE FROM CUSTODY AND CONCURRENT DISORDER CASE MANAGER– 183-26-3
Added 11 mins ago
184-26-4 Land Based Program Coordinator
Six Nations
Ohsweken, ON
Full-time
…Land Based Helpers ensuring the successful development and delivery of land-based programming to individual clients and families that is respectful of Hodi:nohshoni/Rotinonhsion:ni culture…
Added 11 mins ago
128R2-26-3 Cultural Advisor
Six Nations
Ohsweken, ON
Full-time
JOB SUMMARY: The Cultural Advisor reports to and works under supervision of the Crisis Hub manager.
Added 11 mins ago
HR Manager - Term
Oxford Frozen Foods
Oxford, NS
We are seeking a dynamic, operationally grounded HR Manager to cover a maternity leave. Leading a team of three and collaborating across regional facilities, you will partner directly with…
Added 11 mins ago
Firmware Engineering Manager
Synopsys
Ottawa, ON
Leading firmware teams has given you a strong sense of what separates consistent delivery from last-minute firefighting. Beyond technical expertise, success comes from building an…
Added 11 mins ago
Hardware Validation Senior Engineering Manager
Synopsys
Mississauga, ON
…board is a system of tradeoffs between signal integrity, power delivery, thermal constraints, and what the fab can actually build at a reasonable cost. You have debugged enough boards to…
Added 11 mins ago
Senior Software Engineering Manager - EA SPORTS™ UFC
Electronic Arts
Vancouver, BC
As a Senior Engineering Manager, you will lead engineering teams, shape technical strategy, and grow our technical talent to deliver high-quality sports entertainment games. You will bring…
Added 11 mins ago
Silicon IP Program Manager - 18404
Synopsys
Markham, ON
Drive on-time delivery of complex IP programs.
Added 11 mins ago
Senior Program Manager
Electronic Arts
Vancouver, BC
Respawn Entertainment is looking for a Senior Program Manager to drive complex, interconnected strategic initiatives across our studio ecosystem. In this highly cross-functional role, you…
Added 11 mins ago
Silicon IP Program Manager - 18405
Synopsys
Markham, ON
Drive on-time delivery of complex IP programs.
Added 11 mins ago
Senior Manager, Game Capture
Electronic Arts
Vancouver, BC
Reporting to the Director of Production, the Senior Manager, Game Capture leads the strategy, execution, and evolution of gameplay capture across EA's portfolio. You will manage a team…
Added 24 mins ago
Project Manager - Structural
MatchBox Consulting Group
Calgary, AB
Full-time
As a Structural Project Manager, you will manage and deliver structural engineering projects involving new construction, renovations, rehabilitation and existing buildings. You will be…
Added 24 mins ago
Service and Program Staff - Ticket Staff - Lively Ski Hill
City of Greater Sudbury
Sudbury, ON · Greater Sudbury, ON
Internship
A criminal record check is required for this position and will be requested by the Hiring Manager should you be the candidate of choice. Please do not submit your criminal record check with…
Added 24 mins ago
Dispatcher
Stock Transportation
Sunderland, ON
Full-time
Coordinates vehicle service and mechanical repairs with Maintenance Supervisor to assure uninterrupted service delivery.
Added 24 mins ago
Program Instructor - Ski/Snowboard Instructors
City of Greater Sudbury
Sudbury, ON · Greater Sudbury, ON
Internship
A vulnerable sector check is required for this position and will be requested by the Hiring Manager should you be the candidate of choice. Please do not submit your vulnerable sector check…
Added 24 mins ago
Shelter Worker, FT
Dixon Hall
Toronto, ON
Full-time
Participate in the planning and delivery of programs and activities to address the health, employment, housing and social and recreational needs of the residents.
Added 25 mins ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 25 mins ago
Development Manager - EA SPORTS™ UFC
Electronic Arts
Vancouver, BC
Reporting to a Development Director, a Development Manager (DM) ensures the game feature delivery is on time and within budget. This DM will support and oversee the project schedule and…
Added 25 mins ago
Delivery Account Operations Associate - Site Lead
Xerox
Valcourt, QC
The Print Operations – Site Lead reporting to the Services Delivery Manager, serves as the primary on site representative at a designated customer location, ensuring seamless daily service…

General Motors

Data Engineering, Cloud Migration & Platforms Engineer

Markham, ON, Canada

Pay: The salary range for this role is $97,800 to $146,600.
Job type: Full-time
Apply by: Oct 7, 2026
Posting language: English
Posted: Sep 30, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

Vacancy Status: This posting is for a new vacancy within the organization and is open to new applications.

AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role

This role is categorized as hybrid. This means the successful candidate is expected to report to the Markham Elevation Centre or the Oshawa Elevation Centre at least three times per week.

The Team & Opportunity

The Enterprise Data team is responsible for supporting and modernizing the data platforms that enable analytics, artificial intelligence, customer engagement, strategic planning, and other enterprise capabilities across GM.

We are building a new team to support the existing legacy environment while migrating and transforming the architecture to a cloud-based platform. This role will help establish the engineering standards, reusable platform capabilities, delivery automation, and operational practices required for a secure, scalable, governed, and reliable cloud data ecosystem.

The ideal candidate combines strong data engineering fundamentals with cloud platform engineering, automation, and production operations. They are comfortable working across architecture, development, infrastructure, security, quality engineering, and incident response to deliver sustainable data products and services.

The Role

As a Data Engineering, Cloud Migration & Platforms Engineer, you will design, build, migrate, automate, and support data platforms and pipelines across on-premises and cloud environments. You will contribute to the modernization of Oracle-based enterprise data workloads, develop cloud-native data solutions, and help create the engineering foundation for governed analytics and AI.

This role combines data engineering and platform engineering responsibilities, including data pipeline development, cloud infrastructure as code, CI/CD, environment promotion, security and access controls, observability, reliability engineering, testing, documentation, and operational support. The specific cloud implementation may be Azure, Google Cloud Platform, or a multi-cloud architecture, depending on platform direction and business requirements.

Key Responsibilities

Assess existing Oracle-based data architecture, workloads, dependencies, interfaces, data flows, and operational processes to support migration planning and execution.

Design and implement scalable data pipelines for batch and near-real-time processing, including ingestion, transformation, validation, reconciliation, and publishing.

Develop migration patterns for data, schemas, ETL/ELT workloads, stored procedures, interfaces, and downstream consumers while maintaining data quality and business continuity.

Build and maintain cloud data-platform capabilities using services such as Azure Data Lake Storage Gen2, Azure Databricks, Azure Kubernetes Service, or comparable Google Cloud services such as Cloud Storage, Dataproc, BigQuery, GKE, and Pub/Sub.

Use Databricks capabilities including Workflows, Unity Catalog, Delta Lake, MLflow, and Asset Bundles where appropriate to support governed data engineering and AI/ML workloads.

Develop reusable infrastructure as code using Terraform, including cloud, networking, data-platform, and Databricks resources; manage remote state and reusable modules.

Design and support CI/CD workflows for data pipelines, infrastructure, configuration, and platform components using GitHub Actions, Azure Pipelines, or comparable cloud-native tooling.

Automate deployment and environment promotion across development, test, staging, and production environments.

Implement data security, identity, access management, encryption, secrets management, key rotation, and least-privilege controls in alignment with GM policies and cloud best practices.

Establish data governance practices including cataloging, lineage, classification, access controls, retention, auditability, and responsible use of enterprise data.

Design and maintain monitoring, logging, alerting, data-quality checks, and operational dashboards that provide clear visibility into pipeline, platform, and service health.

Improve reliability, scalability, performance, and cost efficiency through automation, resilient design, capacity planning, and continuous optimization.

Lead or support incident response, service recovery, root cause analysis, and post-incident reviews for data-platform and pipeline issues.

Define and support operational targets such as SLAs, SLOs, freshness objectives, recovery objectives, and error-budget-aware practices.

Develop automated unit, integration, data-quality, regression, and end-to-end tests for pipelines and platform components.

Collaborate with data architects, application teams, analytics and AI practitioners, security partners, product owners, and global technology teams to translate requirements into reliable data solutions.

Participate in two-week sprints and contribute to backlog refinement, estimation, delivery planning, demos, and continuous improvement.

Create and maintain architecture diagrams, data-flow documentation, API and interface documentation, runbooks, onboarding guides, README files, and production-readiness materials using tools such as Confluence, Lucidchart, and Jira.

Required Qualifications and Skills

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related discipline, or equivalent practical experience.

At least 3 years of professional experience in data engineering, cloud platform engineering, DevOps, software engineering, or a related field, with demonstrated experience delivering production data solutions.

Hands-on experience designing and supporting data pipelines and ETL/ELT workloads, preferably involving Oracle or another enterprise relational database platform.

Strong Python experience for automation, developer tooling, data engineering, and PySpark-based processing.

Experience with SQL, relational data modeling, schema design, query optimization, and data reconciliation.

Experience with at least one major cloud platform, preferably Azure or Google Cloud Platform, and the ability to learn or support the other.

Experience with infrastructure as code using Terraform, including reusable modules, remote state, and environment-specific configuration.

Experience with Git, branching strategies, pull requests, code reviews, and automated CI/CD practices.

Experience with a cloud data platform or lakehouse technology such as Databricks, Delta Lake, BigQuery, Synapse, or an equivalent platform.

Understanding of cloud networking, identity and access management, encryption, secrets management, and secure service-to-service integration.

Experience implementing monitoring, logging, alerting, operational dashboards, and data-quality controls.

Strong troubleshooting, analytical, communication, and cross-functional collaboration skills.

Preferred Qualifications

Experience migrating Oracle databases, ETL jobs, stored procedures, or data warehouses to Azure, Google Cloud Platform, Databricks, BigQuery, or equivalent cloud services.

Strong hands-on experience with Databricks Workflows, Unity Catalog, Delta Lake, MLflow, and Asset Bundles.

Azure experience with ADLS Gen2, Key Vault, Entra ID, AKS, Azure networking, and Azure DevOps or GitHub Actions.

Google Cloud experience with Cloud Storage, BigQuery, Dataproc, GKE, Pub/Sub, Secret Manager, Cloud IAM, and VPC networking.

Experience with streaming and event-driven data processing using Apache Kafka, Apache Pulsar, Pub/Sub, or an equivalent technology.

Experience with Kubernetes, Azure Container Apps, GKE, or other containerized runtime environments.

Experience with Datadog or another observability platform.

Familiarity with MLflow, model or feature pipelines, experiment tracking, and production monitoring for AI/ML workloads.

Experience with HashiCorp Vault or comparable enterprise secrets-management tools.

Experience working in regulated, security-sensitive, or enterprise-scale environments.

Experience with production readiness reviews, incident management, postmortems, and service reliability practices.

Compensation:

The salary range for this role is $97,800 to $146,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.



GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship now or in the future.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.



About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Apply About employer

More about this job

Responsibilities

You will design, build, and migrate data platforms and pipelines across on-premises and cloud environments while establishing engineering standards. The role involves automating deployments, ensuring data security, and maintaining operational health for enterprise data workloads.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 3 years of professional experience in data or cloud engineering. Proficiency in Python, SQL, cloud platforms, and infrastructure-as-code tools like Terraform is required.

Skills

Data Engineering
Cloud Migration
Python
SQL
Terraform
Databricks
Azure
Google Cloud Platform
CI/CD
Infrastructure as Code
ETL/ELT
Data Governance
Kubernetes
Observability
Data Modeling
PySpark

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Cloud Migration
Oracle
Azure Data Lake Storage
Azure Databricks
Azure Kubernetes Service
Google Cloud Platform
BigQuery
Dataproc
Unity Catalog
Delta Lake
MLflow
Terraform
GitHub Actions
CI/CD
Identity and Access Management
Data Governance
Observability
PySpark
Infrastructure as Code
Data Pipelines
Relational Databases
Automation
Reliability Engineering
API
Jira
Confluence
Lucidchart
Enterprise Data
Cloud-native

Report this job