Data Architect - Databricks

Key Responsibilities Architecture & Design :

• Define best practices for data pipelines, orchestration, and governance using Lakehouse architecture.
• Partner with product, business, and engineering teams to align architecture with business & AI Expertise :
• Hands-on implementation and optimization of Databricks AI tools, including :
• Agent Bricks (AI agent orchestration)
• Lakeflow Designer (data workflow automation)
• MLflow (ML lifecycle management)
• Genie or Mosaic AI (generative AI & enterprise search)
• At least one end-to-end implementation experience of AI / ML workloads using Architect large-scale data platforms leveraging Databricks for advanced analytics, AI / ML, and real-time data processing.
• Stay updated with the latest industry trends in AI, MLOps, LLMOps, and data architectures.

Leadership & Stakeholder Engagement :

Innovation & Best Practices :

Must-Have Skills :

Good-to-Have Skills :

(ref : hirist.tech)