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 moder...