General Motors

Data Engineering, Cloud Migration & Platforms Engineer

General Motors • $97K — $146K *
Markham, ON L3R 0G6In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
  • Minimum of 3 years in data engineering, cloud platform engineering, or DevOps roles, with proven delivery of production data solutions.
  • Experience with data pipeline design and ETL/ELT processes, ideally with an Oracle or similar database.
  • Proficiency in Python for automation and data processing.
  • Familiarity with SQL, relational modeling, and query optimization.
  • Hands-on experience with major cloud platforms, especially Azure or Google Cloud.
  • Knowledge of Terraform for infrastructure as code, including reusable modules.

Responsibilities

  • Assess and plan for migration of existing Oracle data architecture and workloads.
  • Design scalable data pipelines for batch and near-real-time processing.
  • Develop data migration patterns ensuring quality and continuity.
  • Build and maintain cloud data-platform capabilities using Azure or Google Cloud services.
  • Implement CI/CD workflows for data and infrastructure components.
  • Automate deployment across development, test, staging, and production environments.
  • Establish data governance practices, including lineage and access control.

Benefits

  • Hybrid work environment with in-office collaboration at least three times a week.
  • Opportunities for professional growth and skill development.
  • Access to modern cloud technologies and architectures for hands-on experience.
  • Participation in agile team practices like two-week sprints.
  • Supportive culture for cross-functional collaboration.
Full 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 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 General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

Keep Up to Date

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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