Jobs at Databricks

12-week paid summer internship where you'll own an end-to-end product project: research customer problems, prototype and test solutions, work with engineers and designers to ship features on Databricks, and iterate with scale, quality, and security considerations.

Join Databricks' 2027 APM cohort to own end-to-end product projects: understand customer problems, prototype and validate ideas, work with engineers and designers to build and launch features on the Databricks platform, and iterate using data-driven feedback.

Lead customer adoption of the Databricks Lakehouse platform by designing architectures, building proofs-of-concept, demonstrating integrations with cloud services, troubleshooting critical issues, and evangelizing open-source projects like Spark, Delta Lake, and MLflow. Partner with sales and present technical solutions to customers.

Drive technical pre-sales engagements for Databricks in Singapore: build client relationships, demonstrate Spark and Databricks solutions, author reference architectures and demos, advise on big data architecture, and collaborate with account and solutions teams to win business and develop into a Solutions Architect.

Architect and build an enterprise-grade, multi-tenant AI-native workflow platform for agentic automation. Design scalable backend microservices, state-machine workflows, LLM orchestration, observability, reliability, and integrations across multi-cloud environments while mentoring engineers and collaborating with product and platform teams.

Partner with sales and customer technical teams to design and deliver scalable Databricks Lakehouse architectures, present reference architectures and demos, validate integrations, and drive adoption of data engineering, data science, and ML solutions. Serve as a trusted technical advisor throughout the sales lifecycle and manage delivery of production data solutions.

Build and ship production web experiences for databricks.com using an AI-native platform. Implement components and page systems, integrate with CMSs, participate in code review, and embed AI tools across the engineering lifecycle to improve discovery, rendering, and deployment.

Named Enterprise Account Executive responsible for expanding Databricks usage with two major Australian enterprise customers. Drive consumption, secure strategic committed deals, prospect new business units, manage pipeline in Salesforce, deliver POCs, coordinate cross-functional teams, and lead C-level engagements to accelerate data and AI initiatives.

As a Software Engineer for GenAI inference, you will design and optimize the inference engine for Databricks' Foundation Model API, focusing on performance and efficiency across various systems.

Lead the development and optimization of GPU kernels for GenAI inference, focusing on performance improvements and mentorship of engineers.

Lead the architecture and development of an inference engine for Databricks Model API, optimizing for performance and scalability while collaborating with researchers and cross-functional teams.

Lead a team responsible for Databricks' Compute infrastructure, focusing on scaling systems, improving performance, and enhancing engineer productivity through technical leadership and strong design practices.

The Senior Customer Enablement Architect drives customer success through tailored training programs, partnering with sales teams and assessing skill gaps to enhance adoption and business outcomes for Databricks' products.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

As a Lead Solutions Architect, you'll drive organizational transformation through Data & AI, engage with executive leaders, and mentor teams.

The role involves leading technical strategies for major accounts, implementing data-driven transformations, and showcasing Databricks products through proofs of concept.

Legal Counsel will provide legal support for EMEA commercial activities, negotiate customer agreements, support sales teams, and improve legal processes with AI tools.

The Senior Engineering Manager will lead engineering teams to build scalable infrastructure and products for the Databricks platform, ensuring high technical standards and supporting engineers in their development while collaborating with product leadership.

Lead Databricks' social impact initiative, defining its mission, designing programs, managing partnerships, and representing the company publicly.

The Partner Solutions Architect will enable partners on the Databricks platform, develop architecture solutions, and engage with the partner community to promote data-driven outcomes.