Senior Databricks Architect

We are seeking a seasoned Solutions Architect with a strong pre-sales background to join our team at Databricks, focusing on the Retail and Consumer Packaged Goods (CPG) sectors. This role involves collaborating closely with Account Executives to define and implement technical strategies for our most significant clients, helping them leverage data-driven solutions to enhance their operations through Machine Learning (ML) and Artificial Intelligence (AI).Your expertise in value-based selling, technical account management, and leadership will be vital in driving the successful adoption of our products. You will guide a select number of clients on their transformational journey, ensuring they fully integrate Databricks into their strategies while fostering a community of technical champions within their organizations.

P-256 Join our dynamic team at Databricks as a Solutions Architect specializing in the retail and consumer packaged goods (CPG) sector. We seek seasoned pre-sales professionals with a proven history of empowering large enterprises to adopt data-driven strategies. In collaboration with the Account Executive (AE), you will define and drive the technical strategy for our most critical accounts, fostering deeper engagement with our products and expanding the adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your role will leverage your expertise in value selling, technical account management, and technical leadership to enhance success in these accounts. While collaborating with a team of hands-on resources to build proofs of concept and showcase Databricks' offerings, you will need to possess a solid technical foundation and an understanding of the relevance and application of ML & AI across various use cases crucial to our retail and CPG clients. Your Impact: Serve as the primary technical advocate for Databricks with 1-5 clients. Lead customers through a transformational journey, assisting them in evaluating and integrating Databricks into their strategy. Execute the technical strategy within the account while closely aligning with the overarching business goals. Foster a community of technical champions within the account. Align technical strategies with Databricks solutions to drive mutual success. Provide structured mentorship and guidance to fellow team members.

Location: San Francisco Bay Area, California REQ ID FEQ127R103 Mission Join our team as a Solutions Architect, where you will play a pivotal role in empowering large enterprises to harness the full potential of their data. Collaborating closely with the Enterprise Account Executive (AE), you will define and implement the technical strategy for our most significant accounts, driving deeper and wider adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your expertise in value-based selling, technical account management, and leadership will be key in maximizing client success. You will work alongside a dedicated team that builds proofs of concept and showcases Databricks' innovative products. A strong technical understanding of ML and AI applications across various use cases relevant to the High Tech and Manufacturing sectors is essential. Outcomes Act as the primary technical voice for Databricks across multiple clients. Guide customers through a transformational journey, facilitating their evaluation and adoption of Databricks solutions. Implement tailored technical strategies within accounts based on a deep understanding of their needs. Foster a network of technical champions within client organizations. Align technical strategies with Databricks solutions effectively. Provide structured mentorship to enhance the skills of team members. Earn respect from peers through your experience, insights, and contributions. Competencies: Expertise in establishing and leading virtual teams to achieve success within client accounts. Experience managing large global accounts with an annual recurring revenue (ARR) exceeding $1 million. Ability to build relationships with executives and key influencers. Skill in presenting persuasive viewpoints to decision-makers, steering them toward successful outcomes. Strong technical background in big data, data science, and cloud technologies. Proven ability to drive data-driven business transformation. Programming experience in Python, R, Scala, or Java. Preferred: Databricks Certification.

Join Databricks as a Solutions Architect specializing in the Retail sector, where you'll leverage your extensive experience in pre-sales to empower large enterprises in their journey towards becoming more data-driven. In collaboration with our Account Executives, you will craft and execute the technical strategy for our most significant accounts, driving the adoption of machine learning and artificial intelligence technologies. Your strong background in value selling, technical account management, and leadership will be pivotal in maximizing our clients' success. As part of a dynamic team, you will work alongside technical experts who will assist in building proofs of concept and showcasing the capabilities of Databricks products. A solid understanding of ML and AI applications relevant to the Retail and Consumer Packaged Goods (CPG) sectors is essential.

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.

FEQ127R13 We invite exceptionally qualified candidates from various locations on the East Coast to apply for this exciting opportunity. Mission As a Senior Solutions Architect at Databricks, you will play a pivotal role in advancing the Databricks Data Intelligence Platform. Our team is well-versed in cloud technologies, data engineering, analytics, data science, machine learning, and AI. You will leverage open source projects like Apache Spark™, Delta Lake, and MLflow to enhance your expertise and contribute to the success of our customers. This is a customer-facing position where you will collaborate with clients, team members, product teams, post-sales support, and partners to identify use cases, develop architecture and solutions, and guide customers through successful implementations, leading to impactful business outcomes. Building strong relationships with customers, nurturing champions, and establishing yourself as a trusted advisor will be key aspects of your role. You will report to a Field Engineering Manager within our Financial Services team. Your Impact: Collaborate with the sales team to demonstrate how Databricks can address customer challenges. Provide technical leadership to clients in evaluating and adopting Databricks. Consult on big data architecture, execute proof of concepts for strategic projects, and validate integrations with cloud services and third-party applications. Create and present reference architectures, how-tos, and application demonstrations for clients. Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) within developer communities through meetups, conferences, and webinars. Travel to meet customers in your designated territory. What We Are Looking For: 10+ years in a customer-facing pre-sales or consulting role, ideally with big data technologies addressing data engineering and analytics challenges. Proven experience in designing and architecting distributed data systems. Proficient in programming and debugging in at least one of the following: Python, SQL, Scala, Java, or R. Experience with global system integrators, consulting firms, or technology providers in the financial services sector is a plus. Hands-on experience building solutions with major public cloud providers like AWS, Azure, or GCP. Familiarity with Data Engineering technologies such as Spark, Hadoop, or Kafka.

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.

Join Databricks as a Resident Solutions Architect, where you will play a pivotal role in driving customer success and implementing innovative solutions. As a key member of our team, you will collaborate with clients to understand their business needs and architect solutions that leverage our cutting-edge data and AI platform. Your expertise will empower organizations to unlock the value of their data through strategic guidance and hands-on support.

Join Databricks as a Senior Solutions Architect within our Field Engineering organization, where you will collaborate with customers to craft scalable data architectures utilizing Databricks technologies and services. Your technical expertise and business acumen will empower you to facilitate complex technology discussions that highlight the benefits of the Databricks platform throughout the sales process. Working alongside our Account Executives, you will engage with technical leaders, including architects, engineers, and operations teams, positioning yourself as a trusted advisor to drive meaningful outcomes. You will also liaise with teams across Databricks and our executive leadership to advocate for customer needs, nurture valuable engagements, and report back to the Field Engineering Manager.The impact you will have:Collaborate with Sales and key partners to formulate account strategies aimed at increasing platform adoption among your assigned accounts.Establish the Databricks Lakehouse architecture as the go-to data architecture for clients through exemplary technical account planning.Create and present reference architectures and demo applications to potential clients, demonstrating how Databricks can help them achieve their objectives, thereby attracting new users and use cases.Secure technical wins by advising on big data architectures, data engineering pipelines, and data science/machine learning initiatives; validate the Databricks technology for critical customer projects and ensure seamless integration with cloud services and other third-party applications.Become a specialist and advocate for Databricks-inspired open-source projects (such as Spark, Delta Lake, MLflow, and Koalas) in developer communities via meetups, conferences, and webinars.

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.

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.

As a Solutions Architect on the Digital Natives team, you will play a pivotal role in shaping the future of the big data landscape. Collaborating with some of the most sophisticated data engineering and data science teams globally, you will leverage your expertise to deliver innovative solutions.In this position, reporting to the Field Engineering Manager, you will work closely with customers, product teams, and various customer-facing personnel to architect solutions utilizing our platform and APIs. Your role will involve guiding customers through the competitive landscape, implementing best practices, and cultivating technical champions within their organizations.The impact you will have:Partner with the sales team to provide technical leadership, helping customers understand how Databricks can resolve their business challenges.Consult on Big Data architectures, implement proof of concepts for strategic projects across data engineering, data science, and machine learning, along with SQL analysis workflows. Validate integrations with cloud services, proprietary tools, and third-party applications.Collaborate with fellow Solutions Architects, sharing skills and insights to enhance our customer offerings.

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.

Join Databricks as a Senior Manager in Commissions FP&A, a pivotal role where you will lead the GTM Finance team's commission planning, forecasting, and analytics. You will collaborate closely with the Sales Compensation Strategy and Sales Strategy teams during the annual planning and design cycles. Additionally, you will engage with Accounting to streamline the monthly accrual process and work with GTM Finance partners to deliver insightful analyses on compensation plan success.This strategic position offers a unique opportunity to influence one of the most critical investment areas in our go-to-market strategy.Your Impact:Collaborate with the Sales Compensation Strategy team to align annual compensation plans with business objectives.Oversee the cost modeling for compensation plans, designing quota guardrails, accelerator rates, and managing overassigned quotas to balance commission payouts with performance goals.Develop and uphold a comprehensive commissions forecast, utilizing actuals and anticipated top-line performance to assess budget variances and provide analytical insights to partners.Manage the monthly commissions accrual process, delivering key variance insights to Finance leadership.Conduct ad hoc analyses, offering recommendations for mid-year investments and modifications to compensation plan designs.

Join us in shaping the future of data and AI with Databricks SQL!At Databricks, we empower enterprises and startups globally by delivering cutting-edge Data & AI solutions. Our Databricks SQL (DBSQL) product stands at the forefront of next-generation AI-powered cloud data warehousing, enabling businesses to efficiently query, visualize, and make real-time decisions at scale. Recognized as the fastest-growing data warehouse globally, DBSQL is revolutionizing the industry.We are seeking a dynamic, strategic, and customer-focused Product Manager to drive innovation, define our roadmap, and guide DBSQL through its next phase of expansion.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems. Our Databricks Free Edition provides a platform where students, enthusiasts, and aspiring professionals can engage with data and AI directly, building the skills and confidence needed to shape the future. We are in search of a Senior Product Manager to be a key player in steering the Databricks Free Edition initiative. In this role, you will work closely with a diverse team of product managers, engineers, and designers to craft experiences that make learning data and AI both engaging and accessible.

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.

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.