Principal Data Cloud Architect Jobs

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for an exceptionally experienced, hands-on full-stack engineer to define and build the next generation of AI-powered enterprise workflows. You will take on the hardest and most ambiguous problems in the Technology vertical: translating real customer needs into product direction, designing the systems behind the experience, and personally writing and shipping production-quality code across the stack. You will own the technical direction and end-to-end delivery of products spanning ChatGPT Work surfaces, backend services, plugins, connectors, enterprise data, permissions, and evaluations. You will make foundational architecture and product tradeoffs; establish patterns other engineers can build on; and hold these experiences to a high bar for reliability, security, observability, and customer value. This is an individual-contributor role for an engineer who leads through technical judgment, direct execution, and influence—not people management. You should be equally comfortable working directly with customers, setting direction with senior cro

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans. You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization, leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI. Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success. The work you’ll do: Lead and

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans. You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization, leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI. Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success. The work you’ll do: Lead and

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-6a61cc6f-a00c-8334-82ca-8a2dd2e477ca-0" data-turn-id-container="request-6a61cc6f-a00c-8334-82ca-8a2dd2e477ca-0" data-testid="conversation-turn-4" data-turn="assistant"> About the job Shape how advanced AI hardware is tested before it reaches customers. You'll lead the technical direction of manufacturing test solutions for Host Processor Modules, Server Blades, and multi-node rack systems. Your work will help ensure every system meets the highest quality standards before deployment. You'll own the architecture of the test executive software and develop manufacturing test content that validates complex hardware at scale. Working across hardware, firmware, and software teams, you'll enable reliable, efficient testing throughout production. This role offers broad technical influence. You'll solve complex engineering challenges, improve manufacturing quality through data, and help shape the future of Graphcore's production test capability. The team and culture You'll join the Product Test and Diagnosis team within Manufacturing Operations. The team defines and delivers test strategies across silicon, boards, server systems, and rack-scale platforms. Day to day, you'll work closely with engineers across hardware, firmware, software, manufacturing, and quality. Decisions are driven by technical evidence, collaboration, and continuous improvement. You'll have the freedom to lead technically, mentor other engineers, and influence how manufacturing test evolves across globally distributed teams. What we're looking for Essential Extensive experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. Proven technical leadership as

RDQ327R177 While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. The Security Field Engineering team helps data teams solve the world's toughest problems by empowering customers to understand the security of the Databricks platform and by helping account teams address questions that come up during security reviews. Reporting to the Head of Security Field Engineering, you will meet with customers to answer questions, train other Databricks team members, build customer-facing content such as slide decks, white papers, and maybe write code that customers can use. Our team prioritizes scale -- we'd rather spend an hour building a doc than be in ten hours of meetings, rather deliver agent skills and knowledge base articles than be the rock star answering all the questions. If you want high growth, autonomy, and to touch all elements of security, look no further. The impact you will have: You will be viewed as a security expert as you work with field teams and customers to understand architectures, address concerns and handle compliance questions Your contributions may come in multiple ways, including customer interactions, scalable slides or white paper creation, internal enablement, process improvement, automation, or technical leadership—no one excels in every area, but all are valuable When you’re on the call, you will be directly appreciated. When you’re not, your impact will be felt across the company through the enablement, collateral, knowledge management, and systems you build You might not come from an assurance team, but you’ll come up to speed with common security and compliance regimes to save customers hours of effort and months of uncertainty You will identify customer pain points and work with product management and product marketing will improve our product and our messaging You will contribute to internal-facing services and automation that make life easier for our field staff

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We are looking for a Principal PMM to own the narrative, strategy, and GTM for the fastest-moving surface in our platform – the agentic execution layer that turns everything Gong knows about a revenue organization into action. This is where the vision for the Gong Revenue AI OS becomes real for the market. This is not a role for someone who wants to market features. This is a category-defining role for a technical buyer audience. You will shape how enterprise IT and revenue operations leaders think about agentic AI for revenue: what governed execution actually looks like, how organizations move from agent sprawl to a coordinated operating model, and why the data foundation underneath agents is what determines whether they deliver compounding value or plateau. You will partner closely with Product, GTM, and executive leadership to turn a genuinely new

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. RESPONSIBILITIES Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms. Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics. Primary support of deployed internal fabrics in our AI Datacenters. Direct escalation for Hardware, Link and, Performance issues on network fabrics. Escalation support for customer network fabrics (aligned to reference arch.) Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters. REQUIREMENTS Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field. 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters. Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN. Versed in High-Bandwidth networ

Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – AI Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment wi

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Quality leadership within Manufacturing Operations, the Senior Reliability Scientist is responsible for leading reliability activities across complex, high-performance systems. Working closely with established reliability experts and cross-functional teams, this role uses experimental data and advanced modelling to inform design decisions, validate product reliability and optimise serviceability strategies, including spares provisioning. The Team The Quality team within Manufacturing Operations is responsible for ensuring product robustness, reliability and lifecycle performance across Graphcore’s hardware portfolio. The team includes experienced reliability specialists and works closely with technology research, chip, board, system design, platform and operations teams to translate reliability insights into actionable improvements across the product lifecycle. Responsibilities and Duties: · Define and refine reliability requirements across silicon, board and system levels, working in partnership with research and design teams · Apply ad

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. About the Role: Join our Product Engineering team to develop AI and Machine Learning solutions that transform semiconductor workflows. This role focuses on model development and agentic AI applications, enabling smarter testing, faster yield advancement, and engineering automation to improve cost, cycle time, and quality. This is a ground-breaking opportunity to work on modern technologies and make a significant impact in a world-class company! You will also train and guide Citizen Data Scientists (CDS or equivalent experience) within Product Engineering, helping them apply advanced ML techniques and analytics tools to gain domain-specific insights. Key Responsibilities: Machine Learning Development: Build predictive models for yield, test time, and reliability analysis using structured/tabular data Use advanced machine learning techniques to analyze complex datasets and generate actionable insights that improve manufacturing and operational performance Build and validate ML workflows for large-scale semiconductor datasets Agentic AI Solutions: Develop intelligent agents to automate engineering tasks (e.g., test program validation, yield analysis, report generation) Integra

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans. You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization, leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI. Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success. The work you’ll do: Lead and

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans. You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization, leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI. Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success. The work you’ll do: Lead and

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments. The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications. AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL: Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure Lead and drive projects from idea formulation to design, implementation and successful productionization. Collaborate

About us Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Job Summary Working within the Silicon verification team, the silicon verification engineer is responsible for a wide range of tasks within the silicon verification team. This person is responsible for verification activities within Graphcore, helping the silicon team meet the company objectives for quality silicon delivery. The Team The verification team sits within the Silicon design team. We are responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. Responsibilities and Duties V erification activit i es within the verification team Ensuring good communication between sites Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Candidate Profile Essential: verification experience in relevant industry Proven leadership and planning skills Be highly motivated, a self starter, and a team player Ability to work across teams and programming languages to find root causes of deep and complex issues Ability to research along with the knowledge to solve complex problems Presents technical and functional knowledge to design experiments/ projects that contribute to overall

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celons Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Principal Value Engineer, you are a visionary leader and industry authority spearheading global AI and data-driven business transformations for major organisations, driving the customer’s end-to-end value journey. Operating as the expert technology and business advisor, you will partner directly with Fortune500 CxOs and Board members to reimagine their operating models and optimize critical workflows using the Celonis Context Model. As the AI strategist and thought leader, working alongside Senior and Lead Value Engineers, your core mandate is to design, negotiate, and steer monumental, multi-year programs that permanently alter the competitive landscape for your customers. The work you’ll do: Value Sell