Technical Project Manager - Databricks
Core
Lead enterprise-wide data platform implementations on Databricks, bridging business requirements with technical execution from ingestion through Medallion architecture to BI and agentic AI consumption layers.
Role type
Senior Technical Project Manager (Data Platform)
Builds
Modern data platforms on Databricks, including ingestion pipelines, Medallion structures, BI layers, and agentic AI solutions.
Domain
Data Engineering, Cloud Data Platforms, Artificial Intelligence
Deliverable
production ML models | product features
Required skills
End-to-end project delivery, Agile/Scrum leadership, Budget and cost optimization, Technical risk management, Stakeholder alignment, Backlog refinement
Preferred skills
Consulting background (Big4/top-tier), Hands-on Spark/Delta Lake/MLOps, Enterprise implementation (ERP/CRM/Banking), Public sector project support, Multi-sector business knowledge (Banking/Telco/Energy/Insurance/Retail/Production), Technical subject matter expert review
Technologies
Databricks, Snowflake, Microsoft Fabric, Spark, Delta Lake, MLOps tools
Responsibilities
Manage end-to-end delivery of Databricks data platform projects, Run Scrum ceremonies for data engineering and science teams, Track budgets and optimize compute costs, Align C-level stakeholders with technical execution, Prioritize technical roadmap with Product Owners and Architects
Seniority
Senior, hands-on IC
