Key Responsibilities

• AI Application Enablement: Support the development and deployment of AI-powered applications, including LLM/GenAI workflows, RAG pipelines, and integration with Mosaic AI tooling.
• Data Platform Foundation: Design, build, and maintain the core Databricks Lakehouse platform, including workspace configuration, Unity Catalog setup, cluster policies, security, and governance.
• Data Engineering: Develop and optimize production-grade data pipelines, delivering clean, reliable datasets for analytics and AI workloads.
• Solution Architecture: Evaluate requirements, produce reference architectures, and recommend patterns for data ingestion, transformation, storage, and consumption that align with AI use cases.
• Standards & Best Practices: Establish engineering standards for code quality, CI/CD (Databricks Asset Bundles, Repos), testing, monitoring, and cost optimization.
• Collaboration: Work cross-functionall...