Databricks
829 active job postings, scraped from Databricks's career pages. Last refreshed Apr 28, 5:59 AM.
829 jobs
Showing 221 to 240 of 829
Senior Staff Software Engineer - App and Partner Ecosystem
Delivery Solutions Architect - Financial Services
As a Delivery Solutions Architect, you will serve as the post-sale technical lead for strategic customer accounts, driving adoption and ROI of the Databricks platform. You will own technical account strategy, coordinate cross-functional teams, manage use case progression from win to production, and maintain accountability for complex customer success outcomes.
Director, Corporate FP&A
Manager, Field Engineering France
The Field Engineering Manager will lead a team of pre-sales Solutions Architects and Solutions Engineers in France, focusing on designing value-based solutions, mentoring technical staff, and driving growth through collaboration with Sales. This role sits at the intersection of technical leadership and business strategy, with responsibility for team development, customer relationships, and cross-functional partnership.
Digital Native Go-to-Market (GTM) Leader
Sr Manager, Engineering- Cloud Intelligence & Infrastructure Economics
Sr. Manager, Field Engineering - Digital Native Business
Senior Engineering Manager, AI Runtime
Senior Technical Program Manager, Professional Services
As Senior Technical Program Manager in Professional Services, you will lead high-stakes, multi-workstream programs that drive customer success and scalability. You will architect operating standards, manage complex cross-functional initiatives, guide large-scale digital transformations, and contribute to organizational knowledge within the Professional Services team.
Solutions Architect - FSI
This Solutions Architect will serve as a trusted technical advisor to Financial Services and Insurance clients, demonstrating how the Databricks Data Intelligence Platform solves complex data challenges. The role combines pre-sales technical leadership with customer relationship ownership, requiring expertise in data engineering, warehousing, and science to guide successful platform adoption.