Databricks

Melbourne
Total Offices: 2
2,200 Total Employees
Year Founded: 2013

Jobs at Databricks

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

8 Hours AgoSaved
In-Office
Melbourne, Victoria, AUS
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Lakebase Sales Specialist will drive new revenue by selling lakehouse solutions, engaging with strategic accounts, and leading sales cycles for operational databases.
4 Days AgoSaved
In-Office
Melbourne, Victoria, AUS
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The AI Engineer will develop GenAI applications, oversee production rollouts, advise customers, present at conferences, and collaborate on product roadmaps.
10 Days AgoSaved
In-Office
2 Locations
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Architect and productionize ML and GenAI solutions on the Databricks platform (RAG, agents, LLMs, MLOps). Guide customers and Solution Architects through design, optimization, monitoring, and deployment of end-to-end ML pipelines, collaborate with product and engineering, mentor SMEs, and support technical pre/post-sales engagements.
20 Days AgoSaved
In-Office
Melbourne, Victoria, AUS
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Serve as a senior technical pre-sales architect for Databricks in Melbourne. Partner with Account Executives to develop engagement strategies, lead complex proofs-of-concept, influence stakeholders including C-level, coach junior architects, produce customer-facing technical collateral, and drive adoption of the Databricks Data Intelligence Platform across cloud and third-party ecosystems.
22 Days AgoSaved
In-Office
Melbourne, Victoria, AUS
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead a regional team of Lakebase Sales Specialists to grow Databricks Lakebase revenue by driving pipeline, executing developer/platform sales motions, coaching specialists, engaging executives, and partnering with Product and GTM to scale adoption and modernize operational workloads.