Search the 371 jobs at Databricks

As a Staff Software Engineer on the Data Platform team at Databricks, you'll tackle challenges in backend services and Distributed Data Systems, building scalable services with technologies like Scala, Kubernetes, and Apache Spark. Your focus will be on developing robust services for high-performance data handling and contributing to large-scale distributed systems.

As a Staff Software Engineer at Databricks, you will work on backend systems and distributed data systems, tackling challenges in distributed systems, service architecture, and data pipelines using technologies like Scala and Apache Spark. You will also develop scalable services for cloud storage solutions and contribute to performance engineering for data processing.

As a Senior Software Engineer at Databricks, you will work on backend and distributed data systems, developing reliable and scalable services, and handling large datasets on cloud platforms. You’ll collaborate closely with teams to enhance user experiences and tackle technical challenges.

As a Senior Engineering Manager at Databricks, you'll lead the Data Platform team to develop scalable infrastructure and products while managing talented engineers. Responsibilities include hiring great talent, ensuring technical excellence, collaborating on product roadmaps, and overseeing execution across cross-team projects.

As a Senior Engineering Manager at Databricks, you will lead the Search Platform team, focusing on building scalable infrastructure and products for big data and AI. Responsibilities include hiring and developing engineers, maintaining high technical standards, and collaborating with various teams to ensure successful execution of cross-projects.

As a Senior Engineering Manager at Databricks, you will build and manage teams to develop infrastructure and products for the Databricks platform. Responsibilities include hiring engineers, supporting career growth, maintaining technical standards, and collaborating on long-term roadmaps for product development.

As Engineering Manager for the Search Platform at Databricks, you will lead a team to develop infrastructure and products, ensuring high technical standards, guiding engineers' growth, and collaborating across teams.

As an Engineering Manager for the Data Platform at Databricks, you will lead a team to build scalable infrastructure and products, manage resources for big data workloads, and support engineers in their career development while maintaining high technical standards.

The Technical Solutions Manager at Databricks will lead and develop a team of technical support engineers, manage complex support operations, drive process improvements, establish training plans, and coordinate customer escalations while ensuring excellent customer service.

As a Staff Software Engineer at Databricks, you will focus on backend development, distributed systems, and full-stack solutions. You will deliver high-performance services, build reliable data processing pipelines, and collaborate with product management to enhance user experiences. Your role will span large-scale system architecture and SaaS platform development.

As a Sr Engineering Manager at Databricks, you will lead infrastructure and product development for the Databricks platform, focusing on large-scale distributed systems. Your role involves hiring and supporting engineers, ensuring high technical standards, and collaborating across teams to unblock projects.

As a Staff Software Engineer at Databricks, you will work on backend solutions across various service platforms, focusing on distributed systems, cloud storage architecture, and client libraries, while delivering reliable services for large-scale data. You will also develop scalable services and work closely with teams to enhance user experience.

As a Senior Software Engineer at Databricks, you will work on backend systems, large-scale distributed systems, and SaaS platforms, developing reliable services and enhancing user experience. You'll tackle challenges involving distributed architecture, service scalability, and data processing using technologies like Apache Spark and Delta Lake.

As a Senior Software Engineer at Databricks, you will work on backend and full-stack development for large-scale distributed systems, focusing on performance, reliability, and user experience. You will also handle challenges related to cloud storage and service architecture, contributing to the development of data-centric AI solutions.

The Senior Cloud Network Operations Engineer will monitor critical infrastructure, triage alerts, investigate incidents, perform root cause analysis, develop monitoring tools, and communicate with stakeholders to improve platform reliability and stability at Databricks.

As an Engineering Manager at Databricks, you will lead and build infrastructure and products for the Databricks platform, manage software engineering teams, ensure high technical standards, coordinate execution across teams, and collaborate with product leadership. Your role involves significant experience with distributed systems and engineering processes.

As a Scale Solutions Engineer at Databricks, you will support customers in onboarding and deploying the Databricks platform. You will provide technical assistance, ensure a positive customer experience, and track customer progress in a production environment. Knowledge of cloud platforms and programming languages is essential, along with proficiency in data analytics and engineering technologies.

The Designated Support Engineer at Databricks will manage and prioritize business-critical support cases for strategic customers while ensuring a high-touch support experience. Responsibilities include coordinating with teams, engaging with senior leadership, addressing customer issues, conducting problem reviews, and driving continuous improvement initiatives. Strong technical background and customer-facing experience are required.

As a Solutions Architect at Databricks, you will lead the adoption of the Unified Analytics Platform by providing technical leadership, consulting on big data architecture, and building solutions for customers. You will engage in customer-facing roles, develop architectures, and drive relationships with stakeholders to deliver significant value through Data and AI solutions.

As a Senior Data Engineer, you will tackle big data challenges using the Databricks platform, implement transformational projects, and design end-to-end architectures. You will work with various big data technologies, including Apache Spark and Kafka, and collaborate on data engineering and cloud technology projects to maximize data value for clients.