Lead AI Engineer, Databricks

We are seeking a Lead AI Engineer, Databricks, to design and build data engineering frameworks, reusable components, and best practices that empower hundreds of SAP Data Engineers to build AI-ready Data Products at scale, while driving innovation in AI-assisted development and Agentic AI solutions. Responsibilities Design and build the data engineering framework, reusable components and templates (e.g. CI/CD), and best practices to boost productivity of Data Engineers building AI-ready Data Products Extend the data engineering framework to make it easy for AI Agents to discover and consume Data Products at scale Provide a powerful AI-assistant to accelerate Data Product development and operations Establish and promote engineering excellence practices across agile team peers Set up robust, scalable pipelines leveraging CI/CD frameworks Collaborate with international teams to align on technical strategy and delivery Guide Data Product Engineers with actionable technical direction Requirements 5+ years of experience in Data Engineering with a successful track record of building enterprise-quality Data Products, preferably in Lakehouse architecture Proficiency in Python development Proficiency in version control systems and CI/CD frameworks, such as GitHub and GitHub Actions Expertise in Databricks technologies, including PySpark, Delta Lake and Unity Catalog, or equivalent technology Expertise in Agentic AI and frameworks such as LangGraph, MCP and A2A Knowledge of industry standard microservices technologies, including Kubernetes and Docker Strong English communication skills, both written and spoken, for collaboration with international teams Capability to provide actionable technical guidance and implement engineering excellence practices among agile team peers