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Added 1 hour ago
Data Engineer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
Contract
TekStaff's Client has a current vacancy for a Senior Data Engineer
Added 1 hour ago
RPA Platform Engineer
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Lead code reviews and maintain engineering standards.
Added 2 hours ago
Staff Frontend Engineer – Microfrontends
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Lead the design and implementation of Micro frontend (MFE) architectures using Webpack Module Federation and modern React frameworks.
Added 3 hours ago
Backend Engineer – Python (API & Platform Engineering)
Staffingine LLC
Toronto, ON
Contract
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 4 hours ago
Senior Databricks Data Engineer / Solutions Architect
vikat.AI
Ottawa, ON
Contract
We’re looking for a **Senior Databricks Data Engineer / Solutions Architect** to own an **Azure Databricks Lakehouse** from data ingestion and engineering through governed data products,…
Added 4 hours ago
GCP Senior Data Engineer
Axiom Global Technologies
Canada
Contract
We are looking for a hands-on Data Engineering Lead to run a team of 10 engineers, both onshore and offshore, building cloud data platforms on Google Cloud. This is a leadership role, not a…
Added 4 hours ago
Technology Lead - Databricks Admin
Infosys
Mississauga, ON
$92,740 to $123,375 CAD / year
Full-time
Familiarity with DevOps and CI/CD (GitHub Actions, Azure DevOps, Jenkins).
Added 6 hours ago
Lead Data Engineer
AgileGrid Solutions
Canada
Full-time
…Terraform, as well as collaborative development practices including DevOps, automation, automated testing, and CI/CD pipelines, will be considered an asset. A strong understanding of data…
Added 10 hours ago
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
Full-time
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.…
Added 10 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps)
Added 15 hours ago
Senior Application Security Engineer
Nutrien
Saskatoon, SK
Full-time
The Senior Application Security Engineer is a senior technical role responsible for advancing security across the software development lifecycle (SDLC). Working closely with application…
Added 15 hours ago
Senior Application Security Engineer
Nutrien
Calgary, AB
Full-time
The Senior Application Security Engineer is a senior technical role responsible for advancing security across the software development lifecycle (SDLC). Working closely with application…
Added 17 hours ago
Development Team Lead
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
Other
Lead Experience: 3+ years of experience in a Technical Lead, Engineering Lead, or Senior/Principal Engineer role mentoring development teams and guiding architectural decisions.
Added 17 hours ago
Application Development - Senior IAM Systems Engineer - Advanced
Raise
Toronto, ON
Full-time
We at Raise are hiring a Application Development - Senior IAM Systems Engineer - Advanced for one of our top clients. After establishing themselves as an industry leader, they’re now…
Added 18 hours ago
Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
We are looking for a Senior Data Platform Engineer to design, automate, and operate the shared capabilities that underpin our enterprise data platform.
Added 20 hours ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON · Canada Pharma Campus
Full-time
The CaaS IT Infrastructure Engineer is a highly skilled expert responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and…
Added 20 hours ago
Lead Harness Engineer
Government of Alberta
AB
Within Digital Design and Delivery, the Software Delivery Branch provides architectural leadership, CloudOps, DevOps practices, AI engineering, and software delivery excellence across…
Added 20 hours ago
Staff Software Engineer, Data
Solink
Remote, Canada
$138,445 to $173,056 CAD / year
Full-time · Remote
We’re looking for a Staff Software Engineer (P4) to join our Data Infrastructure team. At this level, you’re trusted to set technical direction for infrastructure supporting 10M+ events per…
Added 21 hours ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON
Full-time
The CaaS IT Infrastructure Engineer is a highly skilled expert responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and…
Added 22 hours ago
GCP Cloud Engineer
TELUS Digital
Remote, Canada
$90,000 to $95,000 CAD / year
Full-time · Remote
We are seeking a highly skilled and motivated GCP Cloud Systems Engineer to lead the design, deployment, and operational excellence of our Google Cloud Platform (GCP) environment. A key…
Added 23 hours ago
Principal Engineer (Director) Cloud
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Canada Life is seeking a Principal Engineer (Director level) to drive our adoption of Cloud. This role will be pivotal in building and operationalizing modern cloud platforms and…
Added 1 day ago
Linux Security Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
· Familiarity with DevOps and CI/CD practices, including tools such as GitHub, Harness, and Tekton for source
Added 1 day ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
…innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable analytics platforms…
Added 1 day ago
Senior Java Software Engineer
Genpact
Montreal, QC
Full-time
Inviting applications for the role of Lead Consultant, Java FS Developer
Added 1 day ago
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…

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

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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.

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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

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