Lear Corporation - Data Engineering Manager

What You'll Do :

- Lead, mentor, and grow a team of engineers responsible for building scalable, secure, and maintainable data solutions.

- Write and review production code across frontend (React/TypeScript) and backend (Java/Kotlin) systems.

- Review and guide production-level code in Python, Java, or similar languages.

- Ensure strong foundations in governance, observability, and data quality.

- Collaborate with cross-functional teams including Product, Security, Engineering, and Data Science to translate business needs into data strategies and deliverables.

- Apply knowledge of open-source component usage, dependency management, and software composition analysis to ensure our data platforms support secure development practices.

- Embed application security principles into data platform design.

- Foster an engineering culture that prioritizes continuous improvement, technical excellence, and team ownership.

Who You Are :

- Comfortable operating across domains-data infrastructure, programming, architecture, security, and team leadership.

- Passionate about delivering high-impact results through technical contributions, mentoring, and strategic thinking.

- Familiar with modern data engineering practices, open-source ecosystems, and the challenges of managing data securely at scale.

- A collaborative communicator who thrives in hybrid and cross-functional team environment

Expertise in technologies : ReactJS, Document DB, API Security, Jenkins, Elasticsearch, etc.

- Understanding of software dependency management and open-source consumption patterns.

- Familiarity with application security principles and secure software supply chains.

- Experience supporting real-time data systems or streaming architectures.

- Exposure to machine learning pipelines or data productization.

- Experience with tools like Terraform, Kubernetes, and CI/CD for data engineering workflows.

- Knowledge of data governance frameworks and regulatory compliance (GDPR, SOC2, etc.)