Solutions Architect at Databricks | San Francisco, CA

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.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

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.

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.

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.

At Hover, we empower individuals to create, enhance, and safeguard the spaces they cherish. Utilizing cutting-edge AI technology built on over a decade of comprehensive real estate data, Hover addresses essential inquiries such as “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals depend on Hover for precise, fully-measured, and interactive 3D models of any property, all achievable through a quick smartphone scan.Our mission at Hover is fueled by curiosity, purpose, and a collective dedication to our customers, communities, and one another. We believe that innovation thrives through diverse perspectives and are proud to foster an inclusive, high-performance culture that encourages growth, accountability, and excellence. Supported by reputable investors like Google Ventures and Menlo Ventures, and trusted by industry frontrunners such as Travelers, State Farm, and Nationwide, we are transforming the way people perceive and engage with their environments.Why Hover Wants YouWe are establishing a new Solutions Architect role to support large enterprise clients in effectively adopting and scaling our platform. This pivotal, technical, customer-facing leadership position will oversee intricate onboarding and integration processes, translating client workflows into actionable platform configurations and technical specifications, while closely collaborating with Product and Engineering teams to bridge any gaps.As the inaugural hire and player-coach team lead, you will set the framework for Solutions Architecture within our organization and will recruit and nurture a team that will expand alongside growing demand.Your ContributionsEnterprise Onboarding & Solution DesignGuide comprehensive technical onboarding for major enterprise clients: discovery, solution design, and readiness for launch.Align client workflows and operational models with our products, pinpointing necessary configurations, best practices, and change management requirements.Create scalable solutions that balance client needs, product capabilities, security/compliance mandates, and long-term sustainability.Integrations & Technical DeliveryLead integration strategy and execution across client systems and downstream partners (e.g., APIs, SSO, data transfer, third-party tools).Convert requirements into clear technical specifications: data mappings, integration contracts, event flows, error-handling approaches, and monitoring strategies.Develop repeatable integration patterns and documentation that minimize implementation time and enhance reliability.

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.

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.

About UsAt Roadrunner, we are revolutionizing the outdated CPQ software that sales teams have struggled with for years. Rather than simply improving it, we are aiming to replace it entirely. Our innovative agentic stack, PQA - Prompt, Quote, Approve, is purpose-built for enterprises, utilizing a data model that aligns with contemporary pricing dynamics.As the first incubation by Kleiner Perkins since Glean, we are led by seasoned founders with successful past ventures and a talented engineering team hailing from industry giants such as Snowflake, Databricks, Citadel, Meta, Robinhood, and Brex. Our San Francisco office fosters a collaborative in-person work environment, and we are just embarking on this exciting journey.

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.

Join orb as a Solutions Architect, where you will play a pivotal role in designing innovative solutions that drive our technology strategy forward. Collaborate with cross-functional teams to create cutting-edge applications that enhance user experiences and streamline operations.

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.

Join Databricks as a Senior Product Manager for Unity Catalog, where we are dedicated to empowering data teams to tackle the world's most pressing challenges. Our innovative data and AI infrastructure platform is designed to help customers harness deep insights to enhance their business operations. Founded by engineers and driven by customer feedback, we eagerly take on technical challenges, from crafting next-gen UI/UX for data interaction to scaling our services across millions of virtual machines.In this role, you will oversee all product activities for Unity Catalog, the foundational metadata and governance layer for the Lakehouse. This includes implementing fine-grained security, governance capabilities, and productivity features like data lineage, search, discovery, auditing, and compliance for our customers' data and AI assets.Your responsibilities will involve coordinating product vision to implementation, engaging with large enterprise clients to ascertain their needs, developing strategic product roadmaps, collaborating with engineering to bring products to life, and liaising with various internal stakeholders to ensure successful product outcomes.Your Impact:Design and implement new governance and security features as part of Unity Catalog.Define and develop platform services that empower Databricks’ data & AI product teams, including ML/AI, Data Science & Engineering, and Data Warehousing, to seamlessly integrate workload-specific governance enhancements.Drive the lifecycle of new features from ideation through customer engagement to launch, including marketing strategies and ensuring broad customer adoption across all segments.Provide insights on the data governance landscape, customer needs, and market trends to engineering and leadership teams through close collaboration with customers and partners.

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.

About This Role Join Databricks as a Software Engineer focused on GenAI inference, where you will play a pivotal role in designing, developing, and enhancing the inference engine that drives our Foundation Model API. Collaborating at the intersection of research and production, you will ensure our large language model (LLM) serving systems are optimized for speed, scalability, and efficiency. Your contributions will span the entire GenAI inference stack, from kernels and runtimes to orchestration and memory management. What You Will Do Participate in the design and implementation of the inference engine, collaborating on a model-serving stack tailored for large-scale LLM inference. Work closely with researchers to integrate new model architectures or features such as sparsity, activation compression, and mixture-of-experts into the engine. Optimize latency, throughput, memory efficiency, and hardware utilization across GPUs and other accelerators. Build and maintain tools for instrumentation, profiling, and tracing to identify bottlenecks and inform optimization efforts. Develop scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads. Ensure reliability, reproducibility, and fault tolerance in inference pipelines, including A/B launches, rollback, and model versioning. Integrate with federated and distributed inference infrastructure, orchestrating across nodes, balancing load, and managing communication overhead. Engage in cross-functional collaboration with platform engineers, cloud infrastructure, and security/compliance teams. Document and share insights, contributing to internal best practices and open-source initiatives as appropriate.

Join Databricks as a Financial Analyst within our Sales Finance team, part of the FP&A organization. In this role, you'll work closely with the Senior Manager of Finance to drive strategic financial insights that will optimize our investments for long-term growth.Your responsibilities will include serving as a trusted advisor to Sales and Finance leadership, delivering actionable insights and recommendations that foster sustainable growth. You will enhance forecast reliability, improve corporate reporting, establish robust processes, and scale our systems to support business expansion. Key tasks include analyzing product usage trends, tracking key performance metrics, and collaborating on executive-level presentations.

About Us:Modal is at the forefront of AI infrastructure. We provide seamless access to GPUs, quick container startups, and integrated storage solutions, simplifying the process of model training, batch job execution, and low-latency inference. Leading companies such as Suno, Lovable, and Substack trust Modal to transition from prototypes to full-scale production without the complexities of infrastructure management.Our rapidly expanding team operates out of NYC, San Francisco, and Stockholm. With a remarkable 9-figure annual recurring revenue (ARR), we recently achieved a valuation of $1.1 billion after our successful Series B funding round. Thousands of customers, including Lovable, Scale AI, Substack, and Suno, depend on us for their AI workload needs.Joining Modal means becoming part of a dynamic, rapidly growing AI infrastructure company with substantial opportunities for personal and professional advancement. Our team comprises creators of well-known open-source projects (e.g., Seaborn, Luigi), academic researchers, international competition medalists, and seasoned engineering and product leaders with extensive experience.The Role:We are seeking a strategic Solutions Architect to influence technical strategies across our key enterprise accounts.In this position, you will serve as the technical partner to Enterprise Account Executives, managing intricate evaluations, developing infrastructure modernization strategies, and promoting multi-product adoption across AI and ML applications.This is a strategic, consultative role that demands a robust architectural background, a strong executive presence, and the ability to impact major infrastructure decisions worth millions. You will collaborate directly with CTOs, VPs of Engineering, and leaders of ML platforms to redefine the construction and operation of AI infrastructure.If you excel in fast-paced technical sales contexts and are eager to shape the infrastructure that drives modern AI innovations, we would love to hear from you.

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.

About Deepgram Deepgram builds real-time APIs for speech-to-text (STT) and text-to-speech (TTS), serving over 200,000 developers and 1,300 organizations. Companies like Twilio and Cloudflare use Deepgram’s scalable, precise voice AI technology to power their products. Role Overview: Solutions Architect The Solutions Architect joins Deepgram’s Applied Engineering team in San Francisco. This role focuses on working closely with clients, solving technical challenges, and developing scalable solutions to strengthen Deepgram’s support infrastructure. What You Will Do Lead customer engagements after the sale, ensuring smooth technical integration and support. Assist with pre-sales and implementation projects as needed. Resolve complex technical issues for clients, drawing on engineering expertise. Develop repeatable solutions and contribute to automation that frees the team to focus on high-impact pre-sales work. How Deepgram Works The team values an AI-first approach, encouraging experimentation with advanced AI tools in daily work. Deepgram supports a culture of innovation and adaptability. Location This position is based in San Francisco, CA.