🛠 Tech Stack

💼 About This Role

You'll design and maintain high-quality corporate data models aligned with the organization's data architecture. You'll ensure semantic consistency, scalability, and support for analytics, BI, and AI/ML use cases. Collaborate with architecture, governance, and analytics teams in a hybrid setup.

🎯 What You'll Do

• Design and evolve corporate data models.
• Ensure semantic consistency and scalability for BI/AI.
• Build conceptual, logical, and physical data models.
• Define naming conventions and data modeling guidelines.

📋 Requirements

• 4-5 years in data modeling or data architecture.
• Experience with conceptual, logical, and physical modeling.
• Knowledge of Data Lake/Lakehouse and modern Data Warehouse.
• Advanced conversational English.

✨ Nice to Have

• Knowledge of BIAN framework.
• Experience with Feature Store.
• Use of Erwin Data Modeler.

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work
• 💻 Cloud platform experience (Azure)
• 📚 Professional development opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Offer· 15 min