Technical Project Manager (Databricks & Data Engineering)
Core
Lead end-to-end delivery of large-scale Data Engineering, Data Science, and GenAI programs on enterprise data platforms.
Role type
Senior Technical Project Manager (Data & AI)
Builds
Enterprise data platforms built on Databricks, Spark, and cloud ecosystems (AWS/Azure/GCP)
Domain
Data Engineering, Data Science, Generative AI, MLOps/LLMOps
Deliverable
production ML models | infrastructure
Required skills
Program management, Databricks, Spark, ETL pipelines, Cloud platforms (AWS/Azure/GCP), MLOps/LLMOps, GenAI/LLMs/RAG, Agile/Scrum
Preferred skills
Mentoring high-performing teams, Executive communication
Technologies
Databricks, Spark, AWS, Azure, GCP
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; 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
Seniority
Senior, hands-on IC with program leadership
