Manage large, complex projects while ensuring high customer satisfaction, delivering quality results, and maintaining stakeholder relationships throughout all stages of project execution.

The Product Adoption Manager will enhance product adoption by managing a team, defining strategies, and collaborating with cross-functional teams.

Manage a team in industry marketing, developing strategies to grow engagement and pipeline for Databricks across key sectors.

Lead the Performance Engineering team to analyze performance issues, develop solutions, oversee team recruitment, and collaborate with cross-functional teams.

As a Solutions Architect, you'll collaborate with sales and engineering teams to design solutions, implement proofs of concept, and guide clients in data engineering and AI applications in the healthcare sector.

The Paid Social Manager leads global paid social campaigns, aligns strategies with business goals, analyzes performance, and collaborates with teams to enhance marketing efforts.

Join Databricks to lead the Materialized Views engineering team, developing and optimizing features for large-scale ETL and data processing systems.

The Partner Development Representative connects data consumers and partners, driving partnerships and managing projects to achieve business goals while fostering cooperation within teams.

As a Staff Product Manager, you will manage the Databricks Runtime team, gathering customer requirements, defining product roadmaps, and ensuring product success through collaboration with engineering and marketing teams.

The Staff Software Engineer on the Money team will design and manage various billing systems, enhance engineering efficiency, and innovate pricing strategies through collaboration and the use of AI tools.

As a Staff Software Engineer focused on backend, you will design, implement, and operate micro-services, leveraging technologies like Scala/Java, and handle large-scale distributed systems for data and AI infrastructure.

Lead the strategic partnership with Avanade and Accenture, focusing on growth, innovation, and establishing key customer relationships. Drive go-to-market activities and practice development.

As a Senior Software Engineer at Databricks, you'll develop distributed data storage systems, enhancing performance and scalability of data processing for diverse workloads.

As a software engineer on the Runtime team, you will build next-gen distributed data storage and processing systems, improving performance and handling diverse workloads in data analysis.

The Senior Engineering Manager will lead a team focusing on the Databricks Lakeflow platform's ETL features. Responsibilities include team management, recruitment and workforce development, overseeing product strategy implementation, ensuring high-quality software delivery, and managing technical debt while maintaining service reliability.

The Sr. Product Manager for Databricks SQL will define the product vision, lead innovation, collaborate across teams, and engage with customers to enhance the product and drive adoption in the cloud data warehouse market.

Design and implement next-gen systems for data processing, focusing on query optimization, distributed execution, and resource management.

Design and implement next-generation database systems, focused on query compilation, distributed execution, data security, and resource management.

Lead security engineering to enhance data safety, identify infrastructure gaps, attract talent, and represent Databricks at industry events.

As a Senior Software Engineer focused on backend development, you will build scalable infrastructure and products, enhancing Databricks platform's efficiency and security.