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

1015 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