Databricks Architect

🔹 Key Responsibilities:
Architect and implement robust data solutions using Databricks
Lead development in PySpark, Python, and SQL for ETL, modeling, and optimization
Collaborate with engineering teams on architecture and best practices
Guide and mentor junior developers
Translate business needs into scalable technical solutions
Optimize large-scale data processing pipelines for performance and reliability
Ensure security and governance across cloud platforms
🔹 Requirements:
15+ years in IT with deep expertise in Big Data & Cloud Data Engineering
Expert-level skills in Databricks, PySpark, Python, and SQL
Proven success in architecting end-to-end data platforms
Hands-on experience with Azure or AWS
Strong knowledge of data lakehouse architecture & governance
Excellent communication and problem-solving skills