Senior IT Systems and Automation Engineer

Join Databricks as an Engineering Manager overseeing the Databricks SQL Control Plane. In this pivotal role, you will lead a dynamic team of engineers to enhance our SQL services, ensuring they are efficient, scalable, and secure. You will collaborate closely with product management and other engineering teams to define and deliver high-quality solutions that meet our customers' needs.

Join Databricks as a Staff Database Engineer where you will play a pivotal role in designing and optimizing our database systems. You will work collaboratively with cross-functional teams to ensure the reliability and performance of our data infrastructure, contributing significantly to our mission of simplifying data management.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized by providing the world’s premier data and AI infrastructure platform, enabling customers to harness deep data insights for business enhancement. Our Search technologies are integral to this mission, facilitating keyword retrieval, semantic similarity through vector embeddings, and hybrid solutions that blend both methods. These capabilities enable users to discover and comprehend information across vast, intricate datasets, powering applications such as Retrieval Augmented Generation (RAG), AI assistants, recommendation systems, enterprise knowledge management, in-product search, and data exploration. As a Senior Engineering Manager for Search, you will be pivotal in designing and scaling our next-gen Search product, which includes Vector Search, Keyword Search, and Search Quality. You will lead the development of a robust, high-performance, cost-effective, and developer-friendly Search stack, equipping customers to create AI applications with precision, speed, and scalability. In addition to hands-on contributions, you will help define the long-term vision, mentor senior engineers, collaborate across teams, and spearhead strategic initiatives that enhance the technical and business impact of Search at Databricks.

At Databricks, we are dedicated to empowering data teams to tackle some of the most significant challenges in the world—from realizing the next mode of transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to harness deep data insights for business enhancement. Our engineering teams create technical products that address real-world needs. We continually push the limits of data and AI technology while ensuring the security and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, operating millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Our software is designed to seamlessly shield our customers from cloud hardware, network, and operating system faults. As a member of the Observability team, you will craft observability solutions that deliver insights into the health and performance of our products and infrastructure.

P-97 At Databricks, we are dedicated to empowering data teams to tackle the most significant challenges facing the world today. We achieve this by creating and managing the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Our commitment to innovation drives us to constantly explore the edges of data and AI technology while maintaining the resilience, security, and scalability essential for our customers to thrive on our platform. With one of the largest software platforms globally, our infrastructure comprises millions of virtual machines, producing terabytes of logs and processing exabytes of data daily. Given our scale, we routinely encounter faults in cloud hardware, networks, and operating systems, and our software must adeptly shield our clients from these issues. In the role of Performance Engineer, you will collaborate extensively with various teams across the organization to assess the performance of products and features. You will identify performance bottlenecks and partner with engineers to address performance and scalability challenges. This includes establishing performance targets for different software releases, guiding teams in developing performance benchmarks, conducting competitive benchmark analyses for various Databricks products, and performing in-depth analyses to diagnose and rectify performance issues.

Join Databricks as a Staff Software Engineer focused on Backend development, where you'll play a crucial role in enabling data teams to tackle some of the world's most challenging problems, ranging from security threat detection to cancer drug development. Our mission is to build and operate the world's leading data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions.Founded in 2013 by the original creators of Apache Spark, Databricks has rapidly expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, making us one of the fastest-growing SaaS companies worldwide.As part of our engineering team, you'll develop and maintain highly technical products that address significant real-world needs. We constantly push the limits of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success.Our software operates at an impressive scale, managing millions of virtual machines and processing exabytes of data daily. We frequently encounter cloud hardware, network, and operating system faults, and it is vital that our software effectively shields customers from these issues.As a Backend Software Engineer, you'll collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform. Your responsibilities will include writing software in Scala/Java, building data pipelines using Apache Spark and Apache Kafka, integrating third-party applications, and interacting with cloud APIs such as AWS and Azure.Possible teams you could join include:Data Science and Machine Learning Infrastructure: Develop services and infrastructure that blend machine learning and distributed systems, empowering collaborative workspaces, notebooks, IDE integrations, and project management tools.Compute Fabric: Create resource management infrastructure that supports big data and machine learning workloads in a robust, flexible, secure, and cloud-agnostic manner, managing millions of virtual machines.

Join Databricks as a Senior Manager of Identity & Access Management (IAM)!At Databricks, we are on a mission to empower data teams to tackle the world's most challenging problems. As the Lakehouse company, we serve over 7,000 organizations globally, including industry leaders like Comcast, Condé Nast, and H&M. Our Lakehouse Platform uniquely combines data, analytics, and AI, enabling businesses to thrive in the digital age. Headquartered in San Francisco, our reach extends across the globe, driven by the original creators of Apache Spark™, Delta Lake, and MLflow. To learn more about us, visit www.databricks.com.About the RoleWe are seeking a visionary Senior Manager of Identity & Access Management (IAM) to spearhead our enterprise-wide identity, authentication, authorization, and access governance initiatives. This pivotal role entails defining the strategy, architecture, and execution of IAM capabilities that support our diverse stakeholders, including employees, customers, and global platform services. As our organization expands, IAM will become a cornerstone of our security framework and customer trust. You will ensure our identity systems are secure, user-friendly, scalable, and aligned with Zero Trust principles.This leadership position demands cross-functional collaboration with engineering, security, IT, compliance, and product teams to deliver reliable and secure identity services by default. Elevate your career with us and make a significant impact!

Join Databricks as a Lead Security Architect and play a pivotal role in fortifying our IT infrastructure. In this fast-paced environment, you will design and implement a secure and scalable architecture to safeguard our corporate assets. Your focus will encompass crucial aspects of IT security, including Identity and Access Management (IAM), Zero Trust architecture, and endpoint security, all while ensuring the protection of critical business applications and sensitive data.Your deep expertise in security principles and comprehensive understanding of the entire infrastructure stack will be invaluable in crafting robust security solutions that are future-ready. You will help enhance the resilience and integrity of our systems against the ever-evolving cyber threat landscape.This position is critical for shaping our security strategy across various modern platforms including AWS, Azure, GCP, and SaaS solutions. You will establish a strong least privilege (PoLP) model, provide specialized IAM expertise, and securely support SaaS with sensitive information. Additionally, you will contribute to our internal strategy for secure AI development.Collaboration with cross-functional teams is essential to embed security throughout the technology stack, ensuring that our internal strategies align with enterprise security standards.

Databricks is hiring an Engineering Manager for the Application Frameworks group in Mountain View, California. This position leads a team focused on designing and improving frameworks that help businesses unlock greater value from their data. The team’s work emphasizes scalable solutions that enhance both usability and performance for Databricks users. Role overview This manager guides a team of engineers dedicated to building application frameworks. The work involves close collaboration with partners across the company to define project goals and requirements. Managing project timelines and ensuring that deliverables meet Databricks quality standards are key parts of the role. Creating an environment where team members can innovate and perform at a high level is central to success. What you will do Lead and support an engineering team working on application frameworks Collaborate with cross-functional partners to set project direction and requirements Oversee project schedules and ensure outcomes align with company standards Encourage a culture of collaboration and innovation within the team Requirements Proven experience managing technical teams, preferably in software or application development Interest in data, AI, and building tools that simplify complex systems Skill in setting priorities and guiding teams to achieve ambitious goals This role suits those interested in building and scaling frameworks that influence the future of data and AI at Databricks.

P-1257 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from pioneering the next mode of transportation to expediting medical innovations. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our customers to leverage profound data insights for business enhancement. Founded by engineers with a relentless focus on customer satisfaction, we seize every chance to address technical challenges, whether it’s designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. And we’re just getting started. In the role of Senior Engineering Manager at Databricks, you will spearhead teams in crafting robust, scalable, and reliable software essential for our operations. You will oversee the delivery of products and features developed by your teams, collaborating with engineers and customers to ensure we consistently produce exceptional products enriched with innovative features.

P-1107 At Databricks, we are dedicated to empowering data teams to tackle the world's most pressing challenges, from detecting security threats to advancing cancer drug development. Our mission is to create and maintain the leading data and AI infrastructure platform, enabling our customers to concentrate on the significant challenges central to their objectives. Our customers entrust their most critical data to Databricks, and the Trust & Safety team is committed to establishing the most reliable Data and AI platform globally. The Security Foundation Engineering team plays a pivotal role in safeguarding our platform and customers from emerging threats. We are seeking a Senior Engineering Manager to spearhead this initiative and define how security is integrated into every layer of our platform.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

Join Databricks as a Senior Manager in Engineering, where you will lead innovation in Cloud Intelligence and Infrastructure Economics. This pivotal role involves strategizing and executing engineering solutions that drive efficiency and enhance cloud performance.

Join our dynamic team at Databricks as a Senior Fullstack Engineer for our innovative Agentic Applications. In this pivotal role, you will leverage your expertise in both front-end and back-end development to build scalable applications that empower our clients. You will collaborate with cross-functional teams to deliver high-quality software solutions that solve complex problems and enhance user experiences.

P-1126 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most pressing challenges, ranging from security threat detection to groundbreaking cancer drug development. Our mission is to create and maintain the premier data and AI infrastructure platform that enables our customers to concentrate on high-value tasks central to their objectives. Our engineering teams are dedicated to developing innovative products that address significant real-world needs. We continually strive to advance the frontiers of data and AI technology while ensuring our operations are resilient, secure, and scalable to guarantee our customers' success on our platform. Customers place their trust in Databricks with their most critical data, and the Trust & Safety department's mission is to establish the most reliable data analytics and machine learning platform globally. Our Security Engineering team plays a pivotal role in safeguarding customer data from malicious threats. We seek seasoned leaders like you to craft the vision and strategy for this vital domain.

Join Databricks, a leader in data analytics, as a Senior Financial Analyst within our General & Administration Financial Planning and Analysis (FP&A) Team. This pivotal role involves partnering with various departments to provide financial insights and guidance that drive investment decisions and fuel business growth.You will report to the Senior Finance Manager and be instrumental in enhancing forecast accuracy, refining corporate reporting, and collaborating with IT, People, and Legal teams. Your expertise will help ensure the organization meets its goals through data-driven financial modeling and analysis.Your Impact:Act as a primary finance partner to leaders in IT, People, and Legal, facilitating accurate forecasts.Take ownership of budget versus actual variance analysis and relevant reporting.Develop and maintain detailed financial models to assess functional costs and their cross-functional impacts.Collaborate with Accounting on accruals and assist in the month-end close process.Manage strategic projects and ad hoc requests to empower senior leaders in decision-making.Contribute to the company's long-range strategic planning initiatives.Lead initiatives for process and system improvements to support ongoing growth.

P-1125 Summary At Databricks, we are committed to empowering data teams to tackle the world’s most challenging issues, from detecting security threats to advancing cancer drug development. Our mission involves constructing and operating the leading data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges that define their objectives. Our engineering teams create sophisticated products that meet significant real-world needs. We continually push the frontiers of data and AI technology while ensuring resilience, security, and scalability—key elements for our customers' success on our platform. Customers entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to crafting the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role in this mission, safeguarding customer data against malicious actors. We seek visionary leaders to shape the strategy and direction of this critical area. The impact you will have: Enhance the security of Databricks for our clients by identifying and addressing vulnerabilities within our infrastructure and services. Attract elite talent from across the industry. Serve as a prominent advocate for the security engineering discipline throughout the organization, making data-driven decisions. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 10 years of experience in Data Security or related fields, with expertise in two or more of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Proven experience in building systems at large-scale internet companies is a significant advantage.

Join Databricks as a Staff Backline Engineer specializing in Platform services. In this pivotal role, you will leverage your technical expertise to support our platform's operational excellence, ensuring seamless performance and reliability. You will collaborate with engineering teams to troubleshoot and resolve complex issues, enhance our platform's functionality, and drive continuous improvement initiatives.

P-1137 Summary At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer treatments. We achieve this by developing and operating the premier data and AI infrastructure platform, enabling our clients to concentrate on the high-impact challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a modest office in Berkeley, CA, to a global leader with over 1,500 employees. Thousands of organizations, ranging from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, establishing us as one of the fastest-growing SaaS firms globally. Our engineering teams are focused on creating highly technical products that address significant real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. Customers entrust Databricks with their most valuable data, and our Trust & Safety division is committed to creating the most reliable data analytics and machine learning platform worldwide. Security Engineering plays a vital role in safeguarding customer data from malicious threats. We seek senior leaders to shape the vision and define the strategic approach within this critical domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical vulnerabilities in our infrastructure and services. Attract top-tier talent from across the industry. Advocate for the security engineering discipline across the organization, wielding a significant voice to drive data-driven decisions. Represent Databricks at academic and industry conferences and events.