🛠 Tech Stack

💼 About This Role

You'll lead enterprise-wide data engineering standards and best practices at DeepL, a global AI company. You'll drive strategic data architecture and mentor engineers across teams. This role blends deep technical expertise with cross-functional influence.

🎯 What You'll Do

• Define enterprise-wide data engineering standards and best practices
• Provide expert guidance on AWS cloud services and architectural decisions
• Mentor engineers and foster technical excellence across teams
• Drive best practices in data security, governance, and compliance

📋 Requirements

• 10+ years of data engineering experience
• 5+ years in a staff or principal role
• Deep understanding of data architecture (warehousing, ETL/ELT, pipelines)
• Cloud platform expertise (AWS, Azure, or GCP)

✨ Nice to Have

• Familiarity with MLOps and ML infrastructure
• Experience with security best practices and compliance frameworks
• Open-source contributions or technical community involvement

🎁 Benefits & Perks

• 🌍 Global team with 90+ nationalities
• 📈 High-growth environment with frequent promotions
• 🤝 Collaborative culture with cross-functional mentorship