Top Tech Jobs & Startups Jobs

The Senior Contracts Negotiator will lead negotiations with suppliers, focusing on procurement contracts to support the growth of Databricks' global infrastructure. The role involves collaborating with internal teams to optimize contracting processes and providing expert legal support within a fast-paced environment.

As a Senior Solutions Engineer at Databricks, you will help clients solve complex data challenges by leveraging the Data Intelligence Platform. Responsibilities include building relationships with clients, delivering technical propositions, authoring reference architectures, and contributing to community development through engagement in workshops and seminars.

As a Product Specialist - Mosaic AI, you will bridge technical gaps between product management and sales, providing expertise in Gen AI and Machine Learning. Your role involves promoting best practices, aiding adoption of Mosaic AI features, guiding enterprise scenarios, and acting as a technical advisor for customer success within the EMEA region.

The Solutions Architect at Databricks will design scalable data architectures, engage with technical leads and customers, and build technical account strategies. Responsibilities include presenting reference architectures, capturing technical wins, and promoting open-source projects while managing customer relationships effectively.

As a Product Specialist for Azure Lakehouse at Databricks, you will guide customers on best practices, drive adoption through thought leadership, and collaborate with sales and engineering teams to influence product strategies. You will also act as a trusted advisor to resolve technical challenges and support the EMEA Field Engineering team.

As a Scale Solution Engineer at Databricks, you will aid customers in onboarding the Databricks platform, providing technical assistance, ensuring customer satisfaction, and guiding them in technical decision-making for their data solutions.

As a Staff Data Scientist at Databricks, you will build automated solutions for product analytics, guide junior data scientists, and shape data science strategies such as metrics and recommendation systems. Your role includes defining project OKRs, collaborating with teams, and representing the company at conferences.