Staff Product Security Engineer at Databricks | Remote - Netherlands

The Product Security Team at Databricks is dedicated to enhancing the Security Development Lifecycle (SDLC) processes for all code developed for customer use and internal support. Our goal is to minimize the introduction of vulnerabilities in production and to effectively manage the impact of externally identified vulnerabilities on Databricks Services.As a …

P-1345 As the Staff Product Manager for the Databricks Runtime team based in Amsterdam, you will play a pivotal role at the crossroads of query processing, storage, infrastructure, and data governance—integral elements of the Databricks data intelligence platform. In this capacity, you will cultivate a thorough understanding of modern cloud infrastructure, data governance solutions, and open-source components while actively gathering requirements from customers. You will spearhead the launch of features that transform how customers handle petabytes of data daily, streamlining their ability to extract value from their data. This role encompasses the full spectrum of product management, from conceptualization to execution. You will engage with customers to understand their needs, craft long-term product strategies, define product roadmaps, collaborate with engineering to bring those products to life, and liaise with various internal stakeholders (both pre- and post-launch) to guarantee product success.

At Databricks, we are dedicated to empowering data teams to address some of the most pressing challenges in the world, ranging from security threat detection to advancements in cancer drug development. We achieve this by creating and maintaining the world’s most sophisticated data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges inherent to their missions. Our engineering teams design and implement highly technical products that meet genuine, significant needs globally. We operate one of the largest software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we consistently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these issues. The Delta DML team is responsible for the core write-path operations of Delta Lake, the open-source storage layer that underpins the Databricks Lakehouse. Our goal is to provide unparalleled performance and a seamless user experience at an enormous scale, with the majority of data written in Databricks flowing through our platform. We spearhead performance innovations such as Low Shuffle Merge and Deletion Vectors, while actively contributing to open-source initiatives to unify Delta and Iceberg formats. We are looking for an exceptionally skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will play a crucial part in designing, developing, and maintaining robust backend systems that support Databricks workspaces. You will be tasked with building the next-generation platform for serving workspace assets, ensuring high queries per second, low latency, and reliable, high-performance systems while proactively addressing future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall enhancement of team coding practices and system designs.

Join Databricks as a Senior Technical Product Manager where you'll collaborate with product managers, engineering teams, and technical field organizations to create exceptional user experiences through innovative features. In this role, you will concentrate on one of two vital product areas: OLTP Databases Contribute to the evolution of our transactional database capabilities, ensuring they meet the performance, reliability, and scalability demands of modern applications and AI-driven agents. Data Governance Play a key role in ensuring effective governance of data assets, enabling secure access, compliance, and visibility across the organization. This includes supporting AI-driven use cases, like agent-based access through MCP or similar technologies. Your responsibility will be to thoroughly understand both functional and non-functional requirements, such as performance, scalability, security, and compliance, and how customers currently meet these challenges. You will assess the implementation of these workloads on the Databricks Data Intelligence Platform and identify opportunities for enhancement. Acting as a liaison between technical field teams and product and engineering, you will use insights from customer PoCs, benchmarks, and real-world applications to inform product decisions and ensure effective communication of product improvements back to the field. Your Impact Identify and drive meaningful product enhancements in your area of expertise. Establish and execute performance benchmarks (focusing on OLTP) or governance best practices and reference architectures (focusing on governance). Shape and prioritize a significant product roadmap. Support go-to-market strategies and facilitate product adoption. For governance focus: Develop processes and mechanisms for how AI agents can securely and compliantly access the Databricks Data Intelligence Platform. What We Seek 5+ years of robust technical experience. A strong sense of empathy for customers across the full spectrum of Data Platform users. Deep domain expertise in one of the following areas: Transactional databases (OLTP), cloud-native databases, or distributed systems. Data governance practices.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems — from realizing the future of transportation to speeding up medical innovations. We achieve this by developing and managing an exceptional data and AI infrastructure platform that enables our clients to leverage deep data insights for business enhancement. Founded by engineers and driven by a customer-centric approach, we eagerly embrace every opportunity to confront technical challenges, ranging from designing next-generation UI/UX for data interactions to scaling our services and infrastructure across millions of virtual machines. And we’re just getting started.As a Senior Product Manager on the Lakeflow Jobs team, you will play a crucial role in shaping the future of data-aware orchestration within the Databricks Data Intelligence Platform. The Jobs feature is Databricks’ built-in orchestrator, managing hundreds of millions of workloads weekly with an impressive 99.95% reliability rate. This system powers ETL, AI/ML, BI, and streaming workloads for thousands of clients. Your primary focus will be on enhancing control-flow capabilities, authoring experiences, and observability features that empower customers to productionize workflows with best practices such as source control, code promotion, and system observability.This position requires a profound understanding of orchestration workflows, data pipelines, and service reliability. You will collaborate closely with engineers, designers, field teams, and customers to define the product roadmap, drive adoption, and ensure that Jobs remains the leading orchestration platform for modern data and AI teams.The impact you’ll have:Define strategy & roadmap: Establish vision and priorities across orchestration, triggers, authoring, and observability. Transform customer needs into features and integrations that promote Lakeflow Jobs adoption.Drive metrics & observability: Set success metrics for adoption, engagement, and developer efficiency. Utilize data to inform roadmap decisions and enhance the product experience.Collaborate cross-functionally: Work alongside global engineering, field engineering, solution architects, and external partners to deliver significant features and integrations.Champion customer needs: Engage with numerous customers to understand their experiences and advocate for features that minimize friction in authoring, monitoring, and orchestrating workloads.Own the product lifecycle: Document PRDs, release notes, and user manuals, and lead launches that resonate with our vision.

Join Databricks as a Senior Backend Software Engineer to work on cutting-edge technologies that transform the way data is processed and analyzed. In this pivotal role, you will collaborate with a talented team to design and implement robust backend systems that support our innovative data platform. Your work will directly contribute to enhancing our customers' experiences and driving the future of data analytics.

Join our innovative team at Databricks as a Senior Backend Software Engineer, where you'll contribute to cutting-edge data solutions and scalable systems. Collaborate with a talented team to design and implement robust backend services that power our platform, enabling businesses to unlock the full potential of their data.

At Databricks, we are dedicated to empowering data teams to tackle some of the most pressing challenges in the world — from pioneering the next generation of transportation solutions to fast-tracking medical advancements. Our mission is fulfilled through the development and operation of a world-class data and AI infrastructure platform, enabling our customers to leverage deep data insights to transform their businesses.Founded by engineers and driven by a strong customer focus, we enthusiastically embrace every opportunity to confront technical challenges, whether it’s innovating next-generation UI/UX for data interfacing or scaling our infrastructure across millions of virtual machines. Our journey has just begun.Our engineering teams are tasked with creating highly technical products that address significant real-world needs. We manage and operate one of the most extensive software platforms, consisting of millions of virtual machines, generating terabytes of logs and processing exabytes of data daily. At our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must adeptly shield our customers from these issues.Unity Catalog serves as our platform's native unified and open governance solution for data and AI, breaking down silos, simplifying governance, and accelerating insights at scale. We are seeking a Senior Staff Software Engineer to lead the technical efforts for Unity Catalog Runtime Enforcement. This role involves building and fortifying the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization, and data access across Databricks compute, engines, and cloud environments. This initiative aims to minimize incidents and streamline customer decisions by harmonizing enforcement semantics.

P-1125 Overview At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging issues, from security threat detection to the development of cancer treatments. We achieve this by constructing and managing the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions. Our engineering teams design and develop highly technical products that address significant real-world needs. We continuously push the limits of data and AI technology while ensuring the resilience, security, and scalability necessary for our customers' success on our platform. As customers entrust Databricks with their most sensitive data, our Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. Security Engineering plays a vital role within Trust & Safety, safeguarding customer data against malicious actors. We invite senior leaders like you to shape the vision and strategy for this critical area.

P-1319 At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most challenging problems — from realizing the next mode of transportation to expediting groundbreaking medical advancements. We achieve this by developing and maintaining the premier data and AI infrastructure platform, enabling our clients to harness deep data insights to enhance their operations. Founded by engineers who prioritize customer needs, we embrace every opportunity to address technical challenges, whether that involves crafting next-generation UI/UX for data interaction or scaling our services across millions of virtual machines. And this is just the beginning. Our Developer Experience team is committed to ensuring Databricks engineers are both satisfied and exceptionally productive. We create the tools, processes, and infrastructure that significantly enhance engineering velocity as Databricks continues to grow. The ideal candidate will possess a blend of technical proficiency in various language toolchains (Scala, Rust, Python), build systems (particularly Bazel), compilers, version control systems, testing, and most importantly, a passion for improving developer experiences, complemented by a practical approach to delivering results incrementally.

P-1320 At Databricks, we are dedicated to empowering data teams to tackle the most pressing challenges facing the world today. From revolutionizing transportation to advancing medical innovations, we achieve this by developing and maintaining the leading data and AI infrastructure platform. Our customers leverage deep data insights to enhance their operations and drive growth. Founded by engineers who are obsessed with customer success, we eagerly embrace every opportunity to address technical challenges — whether it’s creating next-gen UI/UX for data interactions or scaling our services across millions of virtual machines. We’re just getting started! Unlike conventional enterprise software, we craft modern SaaS products that bring satisfaction to all stakeholders: decision-makers, administrators, and end-users alike. As a Fullstack Software Engineer, you will collaborate closely with your team and product management to deliver exceptional user experiences. Here are a few teams you might join: SQL Analytics Console: This innovative product offers Databricks customers a superior experience for Business Intelligence (BI) and executing SQL workloads directly on the data lake. Our team develops the console for SQL Analytics, enabling users to configure, manage, and monitor their SQL activities. Jobs and Workflows: This team supports all asynchronous customer workloads for Databricks, which constitutes the majority of our usage. As this demand has surged, we have reengineered the system for enhanced stability and scalability, while also introducing exciting new features for advanced workflows and customer observability. Our projects encompass a diverse skill set, including frontend, backend, and reliability engineering. Developer Ecosystem: Focused on improving the development experience, this team governs the core open-source components of our developer ecosystem, which includes the SDK, CLI, and Terraform. Neon Backend as a Service: Responsible for transforming Neon.com into more than just a database, this team provides essential services that empower developers and AI agents to build full-stack applications seamlessly on our platform (auth, data API, email, etc.). Our focus is on designing the foundational elements that will drive the next generation of AI agents and developer workflows.

Join Databricks as a Senior Platform Monitoring Engineer in a hybrid role where you will work in our Amsterdam office at least three times a week.About UsAt Databricks, we are dedicated to empowering data teams to address the world’s most pressing challenges—from revolutionizing transportation to accelerating medical advancements. We build and maintain a premier data and AI infrastructure platform that allows our customers to harness deep insights from their data and enhance their operations. Founded by engineers who are passionate about customer success, we eagerly embrace every opportunity to solve technical challenges, whether it's designing next-generation UI/UX or scaling our services across millions of virtual machines. We are only getting started!Your RoleWe are looking for an outstanding Senior Platform Monitoring Engineer to join our Platform Monitoring Team. This critical role is designed for someone who excels at the intersection of platform reliability, incident response, and customer focus. You will be a key first responder for the Databricks Platform, leading intricate investigations, developing observability solutions, and implementing systemic improvements to enhance customer experience and platform stability.

FEQ426R371 Join our dynamic and rapidly expanding organization as a Director of Field Engineering in the Benelux region. In this pivotal role, you will spearhead a team of first-line managers and pre-sales Solutions Architects, specifically targeting complex accounts. Your leadership will be instrumental in driving our growth across various sectors such as financial services, manufacturing, energy, public sector, healthcare, life sciences, retail, consumer goods, and communications, media, and entertainment. Your expertise in collaborating with sales organizations will be vital in enhancing consumption, while you mentor new sales and pre-sales team members to achieve excellence. You will guide your team and actively engage in opportunities to bolster their effectiveness. Proficiency in articulating complex, business value-focused solutions; supporting intricate sales cycles; and nurturing relationships with key stakeholders in large enterprises is essential. This role reports directly to the Senior Director of Field Engineering for Benelux & Nordics. The impact you will have Recruit and oversee first-line managers and an expanding team of technical pre-sales Solutions Architects. Foster a collaborative culture within a fast-growing team, exemplifying and promoting Databricks' customer-centric, teamwork-oriented, and diverse culture. Enhance the return on investment from Solutions Architect participation in sales cycles. Establish trust-based, long-term relationships with clients, while gaining insights into category-specific landscapes and trends. Encourage a solution and value-driven approach within the field engineering organization. Demonstrate an understanding of business needs and revenue potential for accounts within the assigned region. Help elevate Databricks' brand presence in Benelux in collaboration with the Marketing and Sales teams.

At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world—ranging from transforming transportation technology to expediting medical innovations. By creating and managing a premier data and AI infrastructure platform, we enable our clients to leverage profound data insights to enhance their operations. Born from engineering expertise and driven by a customer-first approach, we eagerly confront technical challenges, whether it's crafting next-generation UI/UX for data interaction or expanding our services across millions of virtual machines. Our journey has just begun.As an Engineering Manager, you will lead your team in constructing infrastructure and products for the Databricks platform at scale. Our diverse teams are focused on various domains:Managing resource infrastructure that supports extensive big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic manner.Developing reliable, scalable services and client libraries that handle vast amounts of data on the cloud across multiple geographic regions and cloud providers.Creating tools that empower Databricks engineers to operate their services seamlessly across different cloud environments.Building services, products, and infrastructure that lie at the nexus of machine learning and distributed systems.

Join Databricks, a leader in data and AI, as a Backend Software Engineer. We are dedicated to empowering data teams to tackle the world’s most pressing challenges, from revolutionizing transportation to pioneering medical advancements. Our world-class data and AI infrastructure platform enables customers to leverage deep data insights for business enhancement. Founded by engineers with a customer-centric approach, we embrace every opportunity to address technical challenges, from crafting next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. We are just getting started!As a Backend Software Engineer, you will collaborate with your team to develop infrastructure and products for the Databricks platform at scale.Your Impact:Our backend teams address various challenges across our vital service platforms. You may work on:Complex problems that bridge product and infrastructure, including distributed systems, large-scale service architecture, monitoring, workflow orchestration, and improving developer experience.Delivering reliable and high-performance services and client libraries for managing vast amounts of data on cloud storage solutions like AWS S3 and Azure Blob Store.Building dependable, scalable services using technologies such as Scala, Kubernetes, and data pipelines like Spark and Databricks, which power our pricing infrastructure handling millions of cluster hours daily, while developing features that empower customers to easily monitor and manage platform usage.

Join Databricks as a Senior Designated Support Engineer specializing in Spark. In this pivotal role, you will work closely with customers to resolve complex technical issues, ensuring their success with our platform. You will leverage your expertise in data processing and analytical solutions to provide exceptional support, drive customer satisfaction, and contribute to the overall growth of our technology.

Join us at Databricks, where our mission is to empower data teams to tackle some of the world's most significant challenges — from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and operating the premier data and AI infrastructure platform, allowing our customers to harness profound data insights to enhance their businesses. Founded by engineers and driven by a customer-centric philosophy, we eagerly embrace every chance to overcome technical hurdles, whether that's crafting next-generation UI/UX for data interaction or scaling our services across millions of virtual machines. And this is just the beginning. Unlike conventional enterprise software, we create and build innovative SaaS products that delight all stakeholders: decision-makers, administrators, and end-users. As a Senior Fullstack Software Engineer, you will collaborate closely with your team and product management to deliver exceptional user experiences. Here are a few of the dynamic teams you could become a part of: SQL Analytics Console: This new product provides Databricks customers with a top-notch experience for Business Intelligence (BI) and executing SQL workloads directly on the data lake. Our team develops the console for SQL Analytics, where users configure, manage, and monitor their SQL usage.Jobs and Workflows: This team supports all asynchronous customer workloads for Databricks, which constitute the majority of our usage. As this demand has surged, we have restructured the system to enhance stability and scalability, while also introducing exciting new features for advanced workflows and customer observability. This team combines frontend, backend, and reliability engineering skills across various projects.Developer Ecosystem: Focused on enhancing the development experience and best practices with external tools, we oversee the core open-source components of the developer ecosystem: the SDK, CLI, and Terraform.Apps Developer Experience: This team is dedicated to making application development on Databricks seamless and enjoyable. We have built an SDK and services tailored for app developers, including our AppKit. Our Codegen sub-team develops tools that ensure apps function perfectly from the start. We are also working on an MCP server for Cursor/Claude Code and developing Skills.

At Upbound, we are transforming the landscape of modern infrastructure for the Agentic AI Era. As the creators and primary maintainers of Crossplane, we are proud to introduce the Intelligent Control Plane—a pioneering platform layer that empowers infrastructure to be programmable, autonomous, and composable.Our mission is to enable the AI-native enterprise with a foundational platform layer that equips teams to provision, operate, and adapt infrastructure at scale—preparing platforms for both human and AI agents. We collaborate with leading cloud providers, ISVs, and open-source communities to facilitate rapid and confident organizational growth.Currently, Upbound supports Fortune 500 companies and platform engineers across over 100 countries. With more than 100M downloads, Crossplane is utilized by over 1,000 teams worldwide. As a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, we have successfully raised $69M to date. Explore more at upbound.io.In the role of Staff Solutions Engineer (SE) at Upbound, you will play a crucial role in our pre-sales team, supporting various pre-sales initiatives across the EMEA region. Once a lead is identified and qualified, you will engage directly with customers to comprehend their technical business challenges. Your goal will be to guide customers through understanding the value that Upbound's products and solutions can deliver. As a Solutions Engineer, you will cultivate credible technical relationships with our clients by actively listening and articulating the value proposition of our offerings in a manner that aligns with their unique requirements.Solutions Engineers possess an in-depth understanding of Upbound's product roadmap, allowing them to discern when to promote upcoming features versus focusing on existing solutions, based on the customer's medium and long-term vision. You are expected to have a deep insight into the key technical and economic buyer personas and understand what it takes to achieve successful outcomes.

This position is hybrid, requiring 3 days a week in our Amsterdam office. As a Senior Technical Solutions Engineer, you will play a pivotal role in delivering technical support for issues related to the Databricks Platform. Your expertise will help resolve challenges involving our unified analytics platform, guiding customers on their journey with Databricks. You will be a trusted resource for inquiries ranging from fundamental technical questions to intricate architectural scenarios across the Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. Your Impact: Troubleshoot and resolve complex customer issues pertaining to the Databricks platform. Provide best practices support for customized solutions developed by Databricks customers. Offer recommendations for enhancing performance in customer-specific environments. Assist with issues regarding third-party integrations within the Databricks environment. Collaborate with engineering and escalation teams to facilitate the resolution of customer issues and requests. Contribute to the creation and maintenance of company documentation and knowledge articles. Act as a strong advocate for customer needs. Enhance your expertise in AWS/Azure and the Databricks platform through ongoing learning and internal training programs. Participate in an on-call rotation during weekdays and weekends. Help establish our Databricks São Paulo office as a pioneering location.

CSQ427R82 Join our team as a Senior Technical Solutions Engineer where you will play a pivotal role in providing expert technical support for both Neon and the Databricks Platform. You will navigate complex challenges related to the Databricks unified analytics platform, guiding customers throughout their journey to maximize their strategic goals with our tools. Your expertise will be sought for everything from fundamental technical inquiries to intricate architectural designs across the Big Data ecosystem. Reporting directly to the Senior Manager of Technical Solutions, your contributions will be essential in fostering customer success. Your Impact: Diagnose and resolve intricate customer issues within the Neon and broader Databricks ecosystem. Offer best practices and support for bespoke solutions crafted by customers. Provide actionable recommendations to enhance performance in specific customer environments. Facilitate discussions surrounding third-party integrations with the Databricks environment. Work collaboratively with engineering and escalation teams to effectively resolve customer issues and requests. Contribute to the development and upkeep of company documentation and knowledge articles. Champion the cause of customer advocacy within the organization. Augment your expertise in AWS/Azure and the Databricks platform through continuous learning and training initiatives. Engage in on-call rotations, both weekdays and weekends.