Databricks jobs

Sr. Product Manager, DBSQL Seattle, Washington RDQ226R484 Build the Future of Data & AI with Databricks SQL At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing , helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse ? We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth. Why Join Us? - Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics . - Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos. - Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future. - Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide. The impact you will have: - Own and define the product vision, strategy, and roadmap for Databricks SQL - Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. - Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. - Drive competitive differentiation and positioning in the cloud data warehouse market. - Collaborate with leadership to align product initiatives with business goals. -

Solutions Architect - Emerging Enterprise United States P-344 At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems. Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor. Databricks' culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment. If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you. The impact you will have: - Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks - Consult on

Sr Technical Solutions Engineer, Platform Amsterdam, Netherlands P-1524; This role is hybrid with 3 days in our Amsterdam office. As a Sr. Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. The impact you will have: - Troubleshoot and resolve complex customer issues related to Databricks platform - Provide best practices support for custom-built solutions developed by Databricks customers - Deliver suggestions for improving performance in customer-specific environments - Assist with issues around third-party integrations with Databricks environment - Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests - Participate in the creation and maintenance of company documentation and knowledge articles - Be a true proponent of customer advocacy - Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs - Participate in weekend and weekday on call rotation What we look for: - Minimum 4 years of experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired . - Solid experience with SQL-based database is

Senior Technical Solutions Engineer, Platform Costa Rica P-362 - This role is hybrid with 3 days in our Heredia office. As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. The impact you will have: - Troubleshoot and resolve complex customer issues related to Databricks platform - Provide best practices support for custom-built solutions developed by Databricks customers - Deliver suggestions for improving performance in customer-specific environments - Assist with issues around third-party integrations with Databricks environment - Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests - Participate in the creation and maintenance of company documentation and knowledge articles - Be a true proponent of customer advocacy - Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs - Participate in weekend and weekday on call rotation What we look for: - Minimum 4 years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired . - Solid experience with SQL-based database is

Staff Software Engineer (Data Platform) Bengaluru, India P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team

Staff Software Engineer, Metrics and Logging Mountain View, California RDQ426R299 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale. The impact you'll have: - Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily. - Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services. - Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs. - Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats

Databricks Forward Deployed Engineer - GPS Location not specified

Staff Software Engineer - Developer Experience Amsterdam, Netherlands P-1319 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Our Developer Experience team is dedicated to making Databricks engineers happy and highly productive. We build the tools, processes, and infrastructure to accelerate engineering velocity as Databricks scales. The ideal candidate will have a mix of technical expertise in one of language toolchains (Scala, Rust, Python), build systems (especially Bazel), compilers, version control systems, testing but most importantly a passion for solving developer experience problems, and a pragmatic ability to ship results iteratively. The impact you'll have: - Build world-class developer infrastructure that directly empowers every Databricks engineer to do their best work, every day. - Dramatically boost the reliability, speed, and efficiency of our largest builds, creating a blazing-fast dev loop and making Bazel a breeze to use. - Create seamless, out-of-the-box development environments and IDE integrations, allowing engineers to dive into coding and debugging instantly, across all major languages

Staff Partner Engineer, Azure New York City, New York; San Francisco, California; Seattle, Washington RDQ427R371 About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have - Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. - Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery. - Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery. - Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions. - Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins. What we're looking for - 10+ years of experience in cloud solution architecture, partner engineering, or technical

Delivery Solutions Architect - Public Sector Remote - Washington D.C. CSQ426R15 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become

Engineering Manager - Core Experiences Bengaluru, India P-995 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences. Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth. As an Engineering Manager in the Core Experiences Platform Org, you will build and operate highly available and scalable platforms which serve multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud. You will report directly to the Sr. Manager of Engineering. The Impact You Will Have: - You will hire great engineers to build an outstanding team - You will support engineers in their career development

Lead Databricks Forward Deployed Engineer - GPS Location not specified

Senior Databricks Forward Deployed Engineer - GPS Location not specified

Staff Backend Software Engineer New York P-1428 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI Platform team, you'll build the substrate that powers everything from data apps, AI agents, model training, model serving, and Vector Search. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure - with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We're building the infrastructure that powers the next generation of AI. We're hiring across multiple teams in our AI Engineering org, including: The impact you will have: - Build LLM infrastructure powering trillions of tokens per week for customers through partner models (OpenAI, Anthropic, Gemini) and self hosted models (Qwen, GPT-OSS, Llama) - Improve reliability, latency, and efficiency of distributed AI workloads - Collaborate with platform, infra, and ML teams

Azure Databricks, IICS- Senior Associate Bangalore, India We are looking for a Senior Associate to join our Data and Analytics Engineering team. You will design and develop innovative data solutions using Azure Databricks and IICS, mentor junior engineers, and collaborate with cross-functional teams to deliver impactful analytics projects.

Staff Software Engineer - Data Platform Bengaluru, India P-375 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few. The impact you will have: - Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You'll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company. - Develop tooling and

Staff Software Engineer (Infrastructure) Bengaluru, India P-1346 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch ! As a Staff Software Engineer at Databricks India, you can get to work across : - Backend (Infrastructure) The impact you'll have: Our Infrastructure Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: - Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. - Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends,

Engineering Manager - Backend Bengaluru, India P-995 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first Engineering Managers in the Software Engineering team at Databricks India , you will work with your team to build infrastructure and products for the Databricks platform at scale . We have multiple teams working on different domains. - Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way - Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers - Build tools to allow Databricks engineers to operate their services across different clouds and environments - Build services, products and infrastructure at the intersection of machine learning and distributed systems. The impact you will have: - Hire great engineers to build an outstanding team. - Ensure high technical standards by instituting processes (architecture

Director, Engineering Governance- Bellevue, WA Mountain View, California P-1494 Databricks is the Lakehouse company. More than 7,000 organizations worldwide - including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 - rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. For more information, visit www.databricks.com . About the Team We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks' products and infrastructure. This role is not simply about running programs-it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem. This is a strategic, hands-on technical leadership role with significant cross-company impact. You will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust. What You'll Own Security & Privacy Governance Architecture - Define the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components. - Build scalable governance frameworks that help engineering teams

Manager, Engineering - AI/BI Vancouver, Canada RDQ226R533 At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business. We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing

Director, Engineering Governance- Mountain View, CA Mountain View, California P-1494 Databricks is the Lakehouse company. More than 7,000 organizations worldwide - including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 - rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. For more information, visit www.databricks.com . About the Team We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks' products and infrastructure. This role is not simply about running programs-it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem. This is a strategic, hands-on technical leadership role with significant cross-company impact. You will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust. What You'll Own Security & Privacy Governance Architecture - Define the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components. - Build scalable governance frameworks that help engineering

Senior Software Engineer - Backend Vancouver, Canada P-1440 Databricks is on a mission to simplify and democratize data and AI - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we're bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: - Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself. - AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations

Sr. Staff Software Engineer - Unity Catalog Data Governance Bellevue, Washington RDQ126R47 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Databricks Unity Catalog is the industry's only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability. We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog's enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale. Key Responsibilities - Technical Leadership : Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization. - Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact. - Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless

Sr. Alliance Director London, United Kingdom SLSQ427R254 Databricks is seeking a strategic alliance leader to own and scale our partnership with Accenture across EMEA and to globally orchestrate our relationship with Avanade. This role sits at the centre of one of the most strategic ecosystems in Data & AI - accelerating consumption on the Databricks Data Intelligence Platform and shaping how two of the world's most influential system integrators deliver transformation at scale. You will translate global alliance strategy into measurable regional impact, align executive stakeholders across Databricks, Accenture, Avanade, and Microsoft, and build repeatable joint go-to-market motions that drive durable growth. This role requires executive credibility, operational rigor, and the ability to convert strategic intent into consumption, pipeline, and customer outcomes. This is a high-visibility role with direct influence on revenue growth, ecosystem strategy, and market positioning across Europe and globally. The impact you will have: - Own and scale the Databricks-Accenture alliance across EMEA, aligning regional execution with global strategy and driving measurable consumption growth. - Serve as the global executive lead for the Databricks-Avanade relationship, building and executing multi-year joint growth plans across regions. - Drive partner-sourced and partner-influenced revenue, new logo acquisition, and expansion within strategic enterprise accounts. - Lead tri-party collaboration between Databricks, Accenture/Avanade, and Microsoft to maximise Azure-aligned investments and market impact. - Incubate and scale differentiated joint industry solutions, accelerators, and managed services built on the Databricks Platform. - Establish operational excellence across joint business planning, QBRs, pipeline governance, and executive alignment. -