At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies.

We invest in our employees, providing them with the support and resources they need to succeed.

As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects.

Because we believe that your career path should be as unique as you are.

Group Summary :

Magna is more than one of the worlds largest suppliers in the automotive space.

We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team.

With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities :

We are looking for a highly experienced and motivated Senior Engineer to join our Enterprise Data Platform team.

This role is pivotal in designing, building, and maintaining scalable, secure, and high-performance data infrastructure across Azure, AWS, and Databricks.

The ideal candidate will have strong hands-on experience in cloud administration, CI/CD automation, and should be innovative in building ingestion patterns, re-usable components, reference architecture and hyper-automation for platform.

Key Responsibilities :

Platform Engineering & Administration - Must Have :

- Administer and optimize Azure and AWS cloud environments, including resource provisioning, access control, monitoring, and cost management.

- Manage and maintain Databricks workspaces, clusters, jobs, notebooks, and user roles.

- Ensure platform security, compliance, and performance through proactive monitoring and automation.

Data Engineering & Development Must Have :

- Design and develop modular, reusable Python-based batch jobs and data pipelines using frameworks like PySpark, pandas, and Delta Lake.

- Build scalable ETL/ELT processes to ingest, transform, and load data from diverse sources into cloud data lakes and warehouses.

- Optimize data workflows for performance, reliability, and maintainability.

DevOps & CI/CD Automation :

- Implement and manage CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools to automate deployment and testing of data solutions.

Must Have :

- Integrate infrastructure-as-code (IaC) practices using tools like Terraform or ARM templates.

Good to have :

- Collaborate with DevOps and platform teams to streamline release cycles and ensure consistent environments.

Collaboration & Governance :

- Work closely with data architects, analysts, and business stakeholders to understand requirements and deliver robust data solutions.

- Promote best practices in data governance, metadata management, and data quality.

- Document technical designs, operational procedures, and troubleshooting guides.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or related field.

- 8 -10 years of experience in data engineering or platform engineering roles.

- Proven hands-on expertise in Azure, AWS, and Databricks administration.

- Strong programming skills in Python, with experience in building production-grade data pipelines.

- Deep understanding of CI/CD principles, Git workflows, and automation tools.

- Experience with monitoring, logging, and alerting tools (e., Azure Monitor, CloudWatch, Datadog).

Preferred Skills :

- Experience with Terraform, Docker, or Kubernetes.

- Familiarity with data lakehouse architectures, Delta Lake, and Apache Spark.

- Knowledge of data security, compliance frameworks, role-based & attribute based access control.

- Exposure to Agile/Scrum methodologies and tools like JIRA or Confluence.

What We Offer :

- Opportunity to work on cutting-edge cloud-native data platforms.

- Collaborative and inclusive work culture.

- Competitive compensation and benefits.

- Continuous learning and career development support.