Technical Project Manager (Databricks & Data Engineering)

Key Responsibilities

• Lead end-to-end delivery of large-scale Data Engineering, Data Science, and GenAI programs• Manage enterprise data platforms built on Databricks, Spark, and cloud ecosystems (AWS/Azure/GCP)• Drive implementation of MLOps/LLMOps pipelines including model deployment, monitoring, and governance• Own program governance including planning, budgeting, resource allocation, and risk management• Lead Agile delivery, sprint planning, and cross-functional team coordination• Ensure scalability, reliability, and performance of data pipelines and AI solutions• Build and mentor high-performing teams of Data Engineers, Data Scientists, and ML Engineers

Required Skills & Experience

• 10-15 years of experience in Project/Program Management with strong focus on Data & AI• Proven experience managing large-scale Data Engineering and Data Science projects• Strong hands-on exposure to Databricks, Spark, ETL pipelines, and modern data architectures• Experience with cloud platforms such as AWS, Azure, or GCP Celebal Technologies• Solid understanding of MLOps, LLMOps, and AI/ML lifecycle• Experience working with GenAI, LLMs, RAG-based solutions, or AI-driven platforms• Strong expertise in Agile/Scrum methodologies and SDLC execution• Excellent stakeholder management and executive communication skills