📋 Description

• Lead production-grade solutions for data and AI challenges using Databricks platform
• Own architecture, design decisions, and end-to-end delivery across data engineering, AI, and apps
• Collaborate with engineering, product, and developer relations to deliver customer value
• Embed with customers to train, integrate, and enable adoption of Databricks solutions

🎯 Requirements

• 6+ years in data engineering, data platforms & analytics, or software engineering
• Proficient in Python, Scala, JavaScript/TypeScript, and modern frameworks
• Experience with two+ cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one
• Distributed computing with Apache Spark and knowledge of Spark runtime internals
• CI/CD for production deployments; MLOps, ML/AI models, and AI APIs
• Design and deployment of production data pipelines, ML/AI models, and user interfaces

🎁 Benefits

• Pay transparency with Zone-based ranges in USD
• Additional benefits and compensation details provided by region