This role is for a Data & AI Platform Architect within Professional Services, focusing on customer engagements using the Databricks platform. Responsibilities include designing and building data engineering, data science, and cloud technology projects, providing architectural guidance, and ensuring successful adoption of Databricks solutions. The role requires strong data engineering, distributed computing (Spark), and cloud ecosystem experience, with familiarity in MLOps and CI/CD.

Director, Field Engineering role in Benelux to lead pre-sales Solutions Architects, focusing on complex accounts and driving expansion across various industries. The role involves partnering with sales, coaching teams, and building customer relationships to promote Databricks' data and AI platform.

Senior Security Engineer on the Incident Response team at Databricks, responsible for responding to security threats, incidents, and investigations. The role involves conducting security analysis and forensics, responding to high-priority alerts, and contributing to automations and agentic capabilities to scale incident response.

This role is for a Senior Engineering Manager at Databricks, focusing on building and scaling infrastructure and products for their data and AI platform. The manager will lead a team responsible for resource management, scalable services, and tools for engineers, operating at the intersection of machine learning and distributed systems.

This role provides technical support for the Databricks unified analytics platform, assisting customers with complex issues, architectural scenarios, and best practices across the Big Data ecosystem. It involves troubleshooting, providing performance improvement suggestions, and collaborating with engineering teams. The role requires strong Python, SQL, and cloud platform (AWS/Azure/GCP) experience.

Databricks is seeking a Platform Monitoring Engineer to join their Platform Monitoring Team. This role focuses on platform reliability, incident response, and observability for the Databricks Data and AI infrastructure platform. Responsibilities include leading incident investigations, conducting root cause analysis, designing alerting and observability workflows, and building automation tools. Requires experience with SRE/DevOps, cloud providers, containerization, and monitoring tools like ELK, Prometheus, and Grafana.

This role provides technical support and guidance for the Databricks unified analytics platform, assisting customers with complex issues, best practices, performance improvements, and third-party integrations. It involves troubleshooting, documentation, and collaboration with engineering teams, with a focus on customer advocacy and platform expertise.

Lead a team focused on embedding security into Databricks' core platforms, including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. The role involves shaping company-wide security architecture, driving "secure-by-default" platforms, opinionated frameworks, and systemic guardrails, and partnering with engineering teams to make the secure path the easiest path. The goal is to eliminate entire classes of security risk through scalable design and set technical direction to empower engineers to build secure systems at massive scale.

Lead a team focused on embedding security into Databricks' core platforms, including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. The role involves shaping company-wide security architecture, driving "secure-by-default" platforms, opinionated frameworks, and systemic guardrails, and partnering with engineering teams to make the secure path the easiest path. The goal is to eliminate entire classes of security risk through scalable design and set technical direction to empower engineers to build secure systems at massive scale.

Databricks is seeking a Senior Software Engineer - Fullstack to work on their data and AI infrastructure platform, focusing on building modern SaaS products with great user experience. The role involves working on teams like SQL Analytics Console, Jobs and Workflows, Developer Ecosystem, or Apps Developer Experience, with a specific mention of a Codegen sub-team building tools for agents to generate Apps.

Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Designated Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.

Full stack software engineer role at Databricks, focusing on building and scaling the data and AI infrastructure platform, with a specific mention of the Apps Developer Experience team working on tools for agents to generate apps. The role involves front-end and back-end development for SaaS products.

Databricks is seeking a Staff Software Engineer - Backend to build infrastructure and products for their data and AI platform. The role involves working on distributed systems, at-scale service architecture, workflow orchestration, and developer experience, with a focus on delivering reliable and high-performance services for data storage and access. The ideal candidate will have extensive experience in backend development, large-scale distributed systems, and SaaS platforms.

Databricks is seeking a Staff Software Engineer for their Developer Experience team in Amsterdam. This role focuses on building and improving the tools, processes, and infrastructure that enhance engineering productivity and velocity within Databricks. The engineer will work on developer infrastructure, optimize build systems (like Bazel), create development environments and IDE integrations, lead cross-functional projects, and evaluate external technologies. The ideal candidate has a strong understanding of the software development lifecycle, experience with internal developer tools and CI/CD, and proficiency in languages such as Scala, Rust, or Python.

Databricks is seeking a Senior Software Engineer - Backend to build infrastructure and products for their data and AI platform. The role involves working on distributed systems, at-scale service architecture, workflow orchestration, and developer experience, with a focus on delivering reliable and high-performance services for data storage and access. Requires 3+ years of production experience in languages like Java, Scala, or C++, and experience with large-scale distributed systems and SaaS platforms.

Software Engineer - Backend role at Databricks, focusing on building and scaling the company's data and AI infrastructure platform. Responsibilities include developing distributed systems, service architecture, monitoring, workflow orchestration, and ensuring reliable, high-performance services for data storage and access.

Engineering Manager for backend infrastructure and platform services at Databricks, focusing on resource management, scalable services, and tools for engineers operating across clouds and environments. The role involves hiring, team development, technical standards, roadmap planning, and cross-team coordination.