Job description

Job Title: Data Engineering Manager (Databricks/GenAI) Job Description We are looking for a highly skilled TPM with hands-on experience in designing and implementing Lakehouse architecture using Databricks and GenAI tools, The ideal candidate should have strong knowledge of ETL/ELT processes, familiarity with modern AI tools, and the ability to independently manage client engagements. This role involves both technical development and client-facing coordination, including the ability to build AI-driven prototypes. Key Responsibilities • Design and implement Lakehouse architecture solutions using Databricks and related technologies. • Develop and optimize ETL/ELT pipelines for large-scale data processing and integration. • Leverage AI tools such as Cursor, Claude Code, Builder.io, or similar platforms to accelerate development and prototyping. • Collaborate with clients to understand requirements and translate them into scalable technical solutions. • Develop AI-powered prototypes to demonstrate potential use cases and accelerate business adoption. • Manage client communication, project coordination, and ensure timely delivery of solutions. • Work independently and take ownership of end-to-end project deliverables. Required Skills • Strong hands-on experience with Databricks, Lakehouse architecture, and data engineering workflows. • Solid understanding of ETL/ELT concepts, data modeling, and data transformation. • Exposure to AI-assisted development tools (Cursor, Claude Code, Builder.io, or equivalents). • Excellent communication, presentation, and client management skills. • Ability to work independently and collaborate effectively in a cross-functional environment. Preferred Qualifications • Experience in AI/ML integration with data pipelines. • Familiarity with cloud platforms (AWS, Azure, or GCP). • Proven experience in building and presenting prototypes to clients.

Requirements