Senior Partner Engineer for Databricks Alliance

Job Summary:The Senior Partner Engineer for Databricks Alliance serves as the key technical advisor and champion for the Sigma-Databricks partnership, bridging the internal and external aspects of the collaboration. This pivotal role necessitates an in-depth, up-to-date understanding of both Sigma and Databricks products, highlighting the unique value propos…

Role Overview The Senior Partner Engineer for the Snowflake Alliance acts as the main technical advisor and advocate for the partnership between Sigma Computing and Snowflake. This role works closely with both internal Sigma teams and external contacts at Snowflake to strengthen collaboration and drive joint success. A deep, current understanding of both Sigma and Snowflake products is essential, with an emphasis on how their combined capabilities benefit shared customers. Key Responsibilities Serve as the primary technical point of contact for the Sigma-Snowflake partnership. Advise and guide internal teams and external partners on technical integration and best practices. Enable technical sales by supporting solution development and field team empowerment. Manage critical technical engagements throughout the partnership lifecycle. Contribute to revenue growth and customer satisfaction by highlighting the unique value of the Sigma-Snowflake integration. Location San Francisco, CA

Role Overview Databricks is hiring a Senior Staff Partner Engineer. This role works alongside product management and sales teams to improve the partner experience. The goal: help Databricks solutions deliver strong value for clients in the data analytics space. Locations New York City, New York San Francisco, California Seattle, Washington

Role Overview Databricks is hiring a Staff Partner Engineer focused on Azure. This position plays a central role in driving technical collaboration between Databricks Product and Engineering teams and Microsoft Azure. The Staff Partner Engineer serves as the primary technical contact, managing the joint product roadmap, supporting engineering integrations, and ensuring Databricks products operate smoothly within Azure. This role works closely with Azure Partner Solutions Architects, Product Managers, and engineers to align priorities, identify integration needs, and accelerate feature delivery. The position reports to the Director of Partner Engineering and partners with Databricks Product Management, Engineering, and Field teams. What You Will Do Lead the technical roadmap for integrating Databricks and Azure products, serving as the main interface between Databricks Product Management and Azure partner teams to align features and co-innovation goals. Track and resolve cross-company dependencies and blockers, manage milestone timelines with Azure teams, and coordinate regular meetings and escalation processes to keep projects on track. Oversee engineering integration projects between Databricks and Azure product teams, guiding initiatives from initial scoping through delivery. Create and maintain technical architecture documentation, including integration patterns, detailed architecture diagrams, and reference implementations for combined Azure and Databricks solutions. Offer technical guidance to field teams on Azure-Databricks integration, working with Solution Architects and Customer Success to support Azure customer wins. Locations New York City, New York San Francisco, California Seattle, Washington

Join Databricks as a Senior Backend Software Engineer and contribute to solving some of the world's most challenging problems. We empower data teams through our state-of-the-art data and AI infrastructure platform, enabling businesses to leverage deep data insights for transformative growth. At Databricks, founded by engineers and driven by a customer-first philosophy, we tackle technical challenges with enthusiasm — from designing next-gen UI/UX for data interfacing to scaling our services across millions of virtual machines.In this role, you will collaborate closely with your team to develop scalable infrastructure and innovative products for the Databricks platform.

At Databricks, we are committed to empowering organizations to unlock the full potential of data and artificial intelligence. Our goal is to create the premier platform for the development, deployment, and management of AI applications at scale, enabling our customers to leverage intelligent solutions to revolutionize their businesses.About Our Team:The Databricks AI team is pioneering how businesses utilize artificial intelligence. Our mission involves creating foundational capabilities that allow customers to build agents and models, manage intricate workflows, and integrate AI seamlessly into their data and applications. As the AI landscape evolves rapidly, our approach requires innovative thinking and the adaptability to navigate these changes. We are not merely creating features; we are fundamentally reshaping how the world interacts with AI.Your Impact:Shape the future of enterprise AI: Define and advance the vision of how Databricks empowers customers to harness generative AI, agents, and groundbreaking workloads.Transform breakthroughs into products: Collaborate with top-tier engineering and research teams to convert state-of-the-art AI innovations into reliable tools for millions.Expand possibilities for customers: Work closely with data and AI leaders to identify novel use cases and design products that make the previously unfeasible achievable and replicable.Be the voice of vision and execution: Inspire the roadmap from concept to launch, steering engineering efforts and articulating how Databricks AI transforms customer capabilities.Build for scale and longevity: Establish the strategies and principles that will guide Databricks AI for years to come, even as the industry undergoes rapid changes.

The Applied AI team at Databricks is dedicated to pioneering advancements in GenAI-driven products. In recent years, we have successfully launched notable innovations such as the Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are utilized by hundreds of thousands of Databricks users daily. We are addressing complex challenges such as code suggestions, error detection and correction, text-to-SQL generation, automatic pipeline creation, and knowledge QA. As our GenAI products continue to advance, we are on the lookout for multiple GenAI Engineers, ranging from junior to senior levels, to spearhead the next phase of development. In 2025, our focus will be on enhancing the quality of LLMs, broadening GenAI functionalities across Databricks products, and fortifying our platform architecture to facilitate seamless AI interactions at scale.

Join Databricks as a Senior Technical Marketing Engineer, where you will play a pivotal role in empowering developers and data teams to create data-native applications utilizing Lakebase and Databricks Apps. Lakebase offers a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps enables the secure building and deployment of applications that operate close to governed data and models.In this impactful role, you will be responsible for guiding teams through the end-to-end project lifecycle, translating platform capabilities into actionable insights via demos, reference architectures, and technical content. You will collaborate closely with product, engineering, and field teams to ensure the successful application of Lakebase and Databricks Apps in real-world scenarios.

About UsAt Databricks, we are pioneering the future of GenAI observability and quality. Our innovative product empowers organizations with sophisticated monitoring and insights for GenAI systems, offering real-time visibility into performance and a comprehensive toolkit for enhancing system quality. Featuring cutting-edge functionalities such as real-time alerts, detailed logging, and anomaly detection, we enable our clients to swiftly identify and remedy issues impacting their GenAI systems. Join us to leverage next-generation tools for ongoing monitoring, testing, and feedback, while utilizing advanced technologies like AutoML/AutoRag, LLM fine-tuning, and Prompt Optimization to elevate the performance and quality of GenAI systems.We are seeking a motivated and skilled Senior Full-Stack Software Engineer to become an integral part of our vibrant team. This position offers the chance to engage in both front-end and back-end development, allowing you to manifest your strong product sense and UI/UX design skills. The ideal candidate will possess a proven history in full-stack development, with expertise in creating intuitive and engaging user interfaces, as well as architecting scalable and efficient backend systems.

Join Databricks as a Director of Engineering GovernanceAt Databricks, we are the Lakehouse company, empowering over 7,000 organizations globally—including industry leaders like Comcast, Condé Nast, and H&M—to harness the power of data, analytics, and AI through our innovative Lakehouse Platform. Our headquarters is located in San Francisco, with a dynamic presence around the world.Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, our mission is clear: to assist data teams in tackling the world's most challenging problems. Learn more about us on Twitter, LinkedIn, and Facebook.To discover more, visit www.databricks.com.About the TeamWe are on the lookout for a highly skilled and influential Director of Engineering Governance to lead our efforts in integrating security, privacy, and responsible data practices into the core of Databricks’ products and infrastructure. This role goes beyond merely managing programs; it involves architecting and scaling robust engineering platforms and operating models that foster secure and compliant product development across a rapidly evolving, multi-cloud ecosystem.In this strategic, hands-on leadership position, you will guide a talented team of senior security engineers, collaborate with product and infrastructure leaders, and establish foundational governance systems that empower Databricks to innovate swiftly while maintaining top-tier security and customer trust.

At Databricks, we are driven by our mission to empower data teams to tackle the world's most challenging problems—whether it's realizing the next mode of transportation or accelerating medical advancements. Our dedication is to build and operate the premier Data and AI infrastructure platform, enabling our clients to harness deep insights from data to enhance their operations. We are on the lookout for a Senior Engineering Manager to join our Photon team, playing a pivotal role in defining the next generation of ultra-fast, scalable data processing solutions. In this role, you will lead a team of exceptional engineers working on Photon—the innovative query engine that powers Databricks' groundbreaking Lakehouse Platform. This is a unique opportunity to drive innovation on a grand scale, optimize data systems for tangible results, and collaborate with top experts in query optimization, execution, storage, and large-scale analytics. If you are passionate about empowering teams, architecting groundbreaking technologies, and accelerating analytics for millions of users, we invite you to join our team.

At Databricks, we are driven by a commitment to empower data teams in overcoming the world's most complex challenges, from realizing the next generation of transportation to expediting groundbreaking medical innovations. Our mission is fulfilled through the development and operation of the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their enterprises. Founded by engineers with a customer-centric mindset, we eagerly embrace every chance to confront technical challenges – whether it's crafting next-gen UI/UX for data interaction or scaling our services and infrastructure across a multitude of virtual machines. About Our Team: Delivering a stellar platform necessitates an outstanding developer experience. The Databricks Repos team lays the groundwork for source control and workflow, facilitating how data engineers, machine learning experts, and analysts manage code, collaborate with peers, and deploy data and AI applications into production. Our team enhances the version control experience within Databricks, delineating user interactions with Git providers, code change management, lineage tracking, pull request evaluation, and code promotion into jobs, pipelines, and deployments. We are dedicated to crafting a seamless, reliable, AI-native workflow that merges the best practices of Git-style development with the specific requirements of data and AI teams. Our goal is to offer an effortless journey from authoring to production across notebooks, SQL, Python, and Lakeflow, all within a unified platform. In this role, you will spearhead the vision and roadmap for Databricks Repos, determining how developers create, test, review, and deploy code within our ecosystem. Collaborating with the Workflows, Notebooks, Lakeflow, Data Management, and broader Developer Experience teams, you will deliver an integrated and user-friendly path to production. Your Impact: Design the comprehensive production experience for data and AI teams, encompassing authoring, Git integration, and CI/CD processes. Define integration strategies for Repos with GitHub, GitLab, and Azure DevOps, promoting seamless branching, pull requests, reviews, conflict resolution, and deployment workflows. Collaborate with engineers to develop AI-assisted code management features, including automated code suggestions, recommended diffs, merge assistance, and deployment validation. Act as the voice of the customer, translating user feedback into workflow enhancements that simplify source control and release management. Boost developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment mechanisms. Facilitate the growth of Databricks adoption.

P-1125 At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems, ranging from security threat detection to advancing cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Our engineering teams are dedicated to creating highly sophisticated products that address vital needs in the world. We relentlessly push the boundaries of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform. Customers place their utmost trust in Databricks with their most valuable data, and our Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. The customer journey on our platform begins with Authentication, and we are seeking senior leaders like you to shape the vision and define the strategy for this critical area. Your Impact: Establish and implement a long-term vision for Authentication that harmonizes robust security with a seamless user experience. Attract and mentor elite engineering talent to enhance our security infrastructure. Serve as the advocate for Security Engineering across the organization, influencing data-driven decisions at the executive level. Showcase Databricks’ security innovations at prominent academic and industry conferences. What We Seek: 10+ years of experience in Data Security or related fields, with expertise in two or more areas such as Authentication, Network Security, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Experience in building systems for large-scale internet enterprises is a significant advantage. 15+ years of experience in developing large-scale distributed systems with high availability. Proven leadership skills to guide efforts across functional and organizational boundaries. Exceptional communication abilities to articulate and advocate for Data Security to senior leadership throughout the organization. A proactive mindset with a strong commitment to delivering high-quality solutions. Master’s or Ph.D. in Computer Science or a related discipline. This position is open to remote candidates.

ABOUT BOXBox (NYSE:BOX) stands at the forefront of Intelligent Content Management, empowering organizations to foster collaboration, oversee the entire content lifecycle, safeguard critical data, and revolutionize business workflows using enterprise AI. Established in 2005, Box simplifies operations for leading global entities such as JLL, Morgan Stanley, and Nationwide. With our headquarters in Redwood City, CA, and offices across the United States, Europe, and Asia, we are reshaping how businesses operate in the AI-driven landscape.At Box, you will play a pivotal role in advancing our platform. Content is the lifeblood of organizational workflows—encompassing everything from contracts and invoices to employee records and marketing assets. Our mission is to integrate intelligence into content management, allowing our clients to transform their workflows entirely. With the synergy of AI and enterprise content, the potential to redefine collaborative work is immense, and at Box, you will be at the forefront of this transformation.WHY JOIN BOX?We are on the lookout for a Partner Account Manager to spearhead go-to-market initiatives with a select group of strategic ISV partners, beginning with Salesforce and Guidewire. This role aims to enhance revenue and partner adoption within Google Cloud Marketplace, where Box is already achieving success. You will articulate a compelling joint value proposition, develop integrations into repeatable sales strategies, and drive measurable outcomes across pipeline growth, Annual Recurring Revenue (ARR), and product adoption. Your mission: to cultivate resilient and scalable partner businesses.The ideal candidate will have a proven track record in collaborating with account executives and partner field teams, managing go-to-market strategies for Google Cloud Marketplace, and driving partner-influenced pipeline growth and successful closure of sales. You will effectively represent the partner business internally, identifying successful strategies, addressing challenges, and amplifying repeatable successes.

P-150 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems, ranging from security threat detection to the development of cancer treatments. We achieve this by creating and managing the leading data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, California, to a global enterprise with over 1000 employees. Our platform is trusted by thousands of organizations, from startups to Fortune 100 companies, establishing us as one of the fastest-growing SaaS firms worldwide. Our engineering teams design and develop highly technical products that meet significant real-world needs. We continually push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from any disruptions. As a Software Engineer focused on backend development, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate microservices for the Databricks platform and products. This role includes writing software in Scala/Java, building data pipelines using Apache Spark™ and Apache Kafka, integrating with third-party applications, and interacting with cloud APIs such as AWS, Azure, CloudFormation, and Terraform. Below are examples of teams you can join: Data Science and Machine Learning Infrastructure: Develop services and infrastructure that bridge the gap between machine learning and distributed systems. Our technology supports flagship collaborative workspaces, notebooks, IDE integrations, and project management tools. We also facilitate large-scale machine learning through environment management, distributed training, and lifecycle management via MLflow. Compute Fabric: Construct the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic manner. This software oversees millions of virtual machines.

Are you a dedicated Developer Advocate with a passion for bridging the gap between technology and the developer community? If you thrive on connecting with others, hosting engaging events, and diving into the nuances of application development and developer experience, we want to hear from you!As a Senior Developer Advocate at Databricks on the Neon DevRel team, you'll play a pivotal role in linking our engineering teams with an expanding community of application and agent developers utilizing Postgres and Neon. Your technical acumen will be essential in maintaining and enhancing our SDKs, educating users, and shaping the future of Agent and Developer Experience (AX & DX) for Neon.Developer experience will be central to your responsibilities. You will help enhance our TypeScript SDK and CLI, manage Neon’s MCP server, and develop other developer-oriented tools, all while keeping ahead of the evolving AI landscape. Your expertise in DevTools and AX will be shared through presentations, meetups, blog articles, videos, and community interactions, empowering developers to build more effectively with Neon and demonstrating our commitment to exceptional Developer Experience (DX) and Agent Experience (AX).Collaboration will be key as you work closely with the neon.com community, product teams, and engineering staff, ensuring that developer feedback directly influences product direction. You'll also partner with fellow advocates, program managers, and the broader Databricks DevRel organization to create a cohesive and impactful strategy for agent experiences.The ideal candidate will embody the core values of our DevRel team: a profound enthusiasm for application development, strong empathy for developer needs, and the ability to convey complex concepts with clarity and effectiveness.In this role, you’ll foster and expand the Neon community through top-notch technical content and hands-on experiences, continuously feeding insights back into the product to further enhance the developer experience.

Join our dynamic team at Databricks as a Senior Financial Analyst, where you'll play a pivotal role in shaping our financial strategy and enhancing our decision-making processes. This is an exciting opportunity for finance professionals who are passionate about leveraging data to drive business success.

Join Langchain as a Partner Alliances Lead specializing in Cloud Solutions. In this pivotal role, you will drive strategic partnerships, cultivate relationships, and enhance the value of our cloud-based offerings. Your expertise will be critical in identifying new business opportunities, negotiating agreements, and ensuring the successful execution of partnership initiatives.

The Applied AI team at Databricks is at the forefront of pioneering GenAI-powered products. In recent years, we have successfully launched the Databricks Assistant, AI/BI Genie, and Agent Bricks, collaborating with product teams to significantly enhance LLM quality for these offerings. These innovations are utilized by hundreds of thousands of Databricks users daily. We are dedicated to solving complex challenges such as code suggestion, error detection and correction, text-to-SQL generation, automatic pipeline generation, and knowledge QA.As we continue to evolve our GenAI products, we are looking for multiple GenAI Engineers at various experience levels to lead the next phase of our development. Our goals for 2025 include improving LLM quality, broadening GenAI capabilities across Databricks products, and reinforcing our platform architecture to facilitate seamless AI interactions on a large scale.

Location: San Francisco, Bellevue, AmsterdamRole Overview: Are you a well-respected technical authority in Generative AI and MLOps, eager to shape the future of production AI Agentic Systems? This Senior Developer Advocate position offers a unique opportunity to take strategic ownership over developer engagement and technical discussions surrounding Agent Bricks on the Databricks Data Intelligence Platform.As a vital link between our engineering teams and the global developer community, you will enhance the careers of data scientists and AI engineers by integrating advanced research, customer insights, and best practices into scalable, production-ready reference implementations, presentations, and demos. You will play a key role in fostering a global community for AI Agentic workflows and LLMOps, with a particular focus on MLflow and Agentic System governance.More About The DevRel TeamAt Databricks, we are dedicated to empowering data and AI teams to tackle the world's toughest challenges. Our mission in Developer Relations (DevRel) is to support data practitioners, data scientists, and the wider developer ecosystem by building vibrant communities, creating exceptional content, and nurturing a truly reciprocal relationship with our users. Our primary goal is to drive awareness and adoption of the Databricks Data Intelligence Platform.The Impact You Will HaveYou will utilize your technical expertise, community-building capabilities, and market insights to drive awareness and adoption, establishing Databricks as the premier technical leader in enterprise AI governance and Agentic Systems.Strategic Roadmap Ownership: Develop and implement the global technical advocacy strategy and roadmap for a critical aspect of Databricks AI Agentic Systems (e.g., RAG Architectures, AI Agent Evaluation, or LLM Governance), ensuring alignment with product objectives and measurable metrics.Evangelism: Collaborate with field AI engineers to design and deploy production-grade reference implementations and create impactful live demonstrations that address real-world enterprise GenAI challenges, highlighting best practices in performance, evaluation, and security. You will advocate for Agent Bricks as the definitive solution to 'Take your AI to your Data.'Technical Content Scaling: Produce high-quality, actionable educational resources, including comprehensive course materials and documentation.