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Databricks","url":"https://news.google.com/rss/articles/CBMixAFBVV95cUxPV01nSHZldlpQcUdNaEVkd0h3SUdnRFdLakxyTDFhT25xUlo5aFZWdGdfYnpJUmRkc0ZxVDJUcHVBdDFUdWpPTEgxQ1hhbFJURktDMmJfQnBrWHAzQ2RPaVhRRTh1WXlGeGtYUmtKMml3RjhhUFE0VjZKWF9ORU1fTTVlVTBBU0l0bzRLd1p1RHpVU01teUJESTExNTlSQkQtSW9UTEt5cGo0MW0yNUJQNU1ucDVOU2l1YjloTnJrSnZlNmVP?oc=5","publisher":"Databricks","date":"2026-03-24","snippet":"Databricks Enters Security Market with Launch of Lakewatch: New Open, Agentic SIEM Databricks"},{"title":"Databricks enters cybersecurity market with Lakewatch launch, bulking up ahead of IPO - CNBC","url":"https://news.google.com/rss/articles/CBMigAFBVV95cUxOVUVTdXRiQ3M4NWRxZ25pQWFqUEZwOGFnczZPNnhrdFdENXRGQlpqVnhrUS1wbHlSdXY1d1dZeDJSMUtnemJDcE5HX2Mybk5wLXVmd21DTDR4dzVaODBTX0xvZkJ6bnZoeHE4cXlfX25EcnVCTFM3ZFF2UXFLaHNzVtIBhgFBVV95cUxPTVlWaGJReW5MOUhVV1NTVFlBOGxPdEtvaTJRV0ljeVdkV1NPb0l1VFdYVG5NaVN3TmVlVXZIQ1V1VHNiSXdvcFhBZHJXbjBORXdOZDM4S0ZoVHVYTTU4X0JyLURTVHZBajNVemtNbjZiLVVDR2pfQWZjTUpyQ05GWUxLR1FfQQ?oc=5","publisher":"CNBC","date":"2026-03-24","snippet":"Databricks enters cybersecurity market with Lakewatch launch, bulking up ahead of IPO CNBC"},{"title":"Lovable + Databricks: Build Data-Driven Apps at the Speed of Thought - 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Strategic AI Native","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8458028002","location":"Remote - Arizona; Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.</p>\n<p>Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.</p>\n<p>You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.</li>\n</ul>\n<ul>\n<li>Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science, and machine learning, and SQL analysis workflows.</li>\n</ul>\n<ul>\n<li>As well as validating integrations with cloud services, homegrown tools, and other 3rd party applications.</li>\n</ul>\n<ul>\n<li>Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.</li>\n</ul>\n<ul>\n<li>Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.</li>\n</ul>\n<ul>\n<li>Experience building distributed data systems.</li>\n</ul>\n<ul>\n<li>Comfortable programming in, and debugging, Python and SQL.</li>\n</ul>\n<ul>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP.</li>\n</ul>\n<ul>\n<li>Expertise in one of the following:</li>\n</ul>\n<ul>\n<li>Data Engineering technologies (Ex: Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)</li>\n</ul>\n<p>Available to travel to customers in your region.</p>\n<p>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).</p>\n<p>Nice to have: Databricks Certification.</p>","enriched_at":1777118805901},{"id":"job_c2d57fe0-8a6","title":"Sr. Delivery Solutions Architect - AI Native","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8469076002","location":"Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>At Databricks, we are on a mission to empower our customers to solve the world&#39;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.</p>\n<p>You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform into one of our largest AI native 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 of our platform and the return on investment.</p>\n<p>This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your account and use cases through leading your customers&#39; stakeholders, building executive relationships, orchestration of 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 the post-sale technical lead across all Databricks products.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Engage with Solutions Architects to understand the full use case demand plan for prioritized customers</li>\n<li>Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts</li>\n<li>Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks</li>\n<li>Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations</li>\n<li>Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise</li>\n<li>Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals</li>\n<li>Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs</li>\n<li>Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:</li>\n</ul>\n<ul>\n<li>Main use cases moving from ‘win’ to production</li>\n<li>Enablement / user growth plan</li>\n<li>Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)</li>\n<li>Organic needs for current investment (e.g. cloud cost control, tuning &amp; optimization)</li>\n<li>Executive and operational governance</li>\n<li>Provide internal and external updates</li>\n<li>KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers</li>\n<li>Programming experience in Python, SQL or Scala</li>\n<li>Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role</li>\n<li>Understanding of solution architecture related distributed data systems</li>\n<li>Understanding of how to attribute business value and outcomes to specific project deliverables</li>\n<li>Technical program, or project management including account, stakeholder and resource management accountability</li>\n<li>Experience resolving complex and important escalation with senior customer executives</li>\n<li>Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects</li>\n<li>Track record of overachievement against quota, Goals or similar objective targets</li>\n<li>Bachelor&#39;s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience</li>\n<li>Can travel up to 30% when needed</li>\n</ul>","enriched_at":1777118793123},{"id":"job_da8bff22-3b5","title":"Product Marketing Director, Lakewatch","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8493857002","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Marketing","description":"<p>We are looking for a senior product marketer to own the product marketing strategy for Lakewatch, a new generation of native applications built on the Databricks Platform. As a Product Marketing Director, you will define the Lakewatch narrative, partner with product and engineering to shape the roadmap and launches, and collaborate closely with sales, partner marketing, and the broader marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Hit or exceed Lakewatch pipeline and revenue goals by defining and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months.</li>\n</ul>\n<ul>\n<li>Increase Lakewatch adoption and usage across priority customer segments by establishing a compelling narrative and positioning that differentiates Databricks in cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases.</li>\n</ul>\n<ul>\n<li>Establish Databricks as a recognized leader in cybersecurity and security analytics by driving thought leadership, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and security-related pipeline contribution.</li>\n</ul>\n<ul>\n<li>Deliver high-impact product and feature launches that translate roadmap investments into business results, meeting agreed-upon targets for adoption, activation, and usage of new Lakewatch capabilities within defined timeframes after launch.</li>\n</ul>\n<ul>\n<li>Improve sales and overlay effectiveness in Lakewatch opportunities by building and scaling sales plays, messaging, and enablement that increase Lakewatch win rates and reduce sales cycle times across core regions and segments.</li>\n</ul>\n<ul>\n<li>Grow partner-sourced and partner-influenced Lakewatch pipeline by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals.</li>\n</ul>\n<ul>\n<li>Continuously optimize Lakewatch GTM performance by defining the right metrics, instrumenting programs, and using data and customer feedback to iteratively improve conversion across the funnel (awareness, evaluation, adoption, and expansion).</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>Extensive product marketing experience in enterprise cybersecurity software, with meaningful exposure to security operations, SIEM/security analytics, or adjacent domains where you have successfully driven pipeline and revenue for security offerings.</li>\n</ul>\n<ul>\n<li>Proven ability to build and scale GTM for new or early-stage products, including setting goals, defining segment and persona strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption.</li>\n</ul>\n<ul>\n<li>Track record of crafting positioning and storytelling for both security practitioners and business stakeholders that led to measurable improvements in engagement, win rate, deal size, or solution attach.</li>\n</ul>\n<ul>\n<li>Demonstrated success partnering with product and engineering to bring market and customer insight into roadmap decisions, with clear examples where your input led to capabilities that increased usage, customer value, or retention.</li>\n</ul>\n<ul>\n<li>Experience enabling global sales and partner organizations on new solutions or categories, with evidence that your plays, content, and enablement improved Lakewatch-like outcomes such as win rates, sales cycle times, or attach rates.</li>\n</ul>\n<ul>\n<li>Experience collaborating with cloud and technology partners or ecosystems to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline.</li>\n</ul>\n<ul>\n<li>Strong communication and executive presence, comfortable leading cross-functional initiatives, influencing without direct authority, and representing the product with customers, partners, analysts, and at industry events.</li>\n</ul>\n<ul>\n<li>Comfort operating in a fast-paced, highly cross-functional environment, where you help define new motions and processes rather than simply optimizing established playbooks.</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range: $237,000-$325,800 USD</p>\n<p>Zone 2 Pay Range: $213,300-$293,250 USD</p>\n<p>Zone 3 Pay Range: $201,400-$277,000 USD</p>\n<p>Zone 4 Pay Range: $189,600-$260,700 USD</p>","enriched_at":1777118762524},{"id":"job_5eddaca2-c4b","title":"Lead GTM Enablement & Scale Architect, New Products","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8463173002","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Databricks is entering entirely new markets, e.g. cybersecurity with Lakewatch (an open, agentic SIEM), agentic AI infrastructure, and more categories on the horizon. Each new product means the field needs to learn a new domain, a new competitive landscape, and a new set of customer conversations fast. This is a founding enablement role for Databricks&#39; next wave of products. You won&#39;t be inheriting a playbook, you&#39;ll be writing a new one, repeatedly, every time Databricks enters a new category. You will own the end-to-end enablement strategy that takes a product from &quot;just announced&quot; to a product every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations. You will be the connective tissue between Product teams building new categories and a global field of SAs, translating capabilities into customer outcomes, and representing the field-readiness voice in Product forums - where the narrative is unclear, where SAs stumble on positioning, where demos need to tighten before a brand-new category reaches the field.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Own the global GTM and enablement strategy for every new product category Databricks enters - from foundational knowledge through advanced competitive positioning against incumbents</li>\n</ul>\n<ul>\n<li>Build and ship enablement at scale using AI: use vibe coding, and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments - then curate for accuracy and field impact</li>\n</ul>\n<ul>\n<li>Design and build demo environments and POC patterns that SAs can fork and customize for customer conversations - you&#39;re an architect, not a slide maker</li>\n</ul>\n<ul>\n<li>Partner directly with Product and Engineering leadership across new product lines to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA</li>\n</ul>\n<ul>\n<li>Establish a tight product feedback loop - systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations. You have the standing to tell PMs what&#39;s not working and the data to back it up</li>\n</ul>\n<ul>\n<li>Design the competitive narrative architecture and build the &quot;why Databricks&quot; story that gives an SA confidence walking into a room with a customer executive.</li>\n</ul>\n<ul>\n<li>Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths - always with a bias toward assets SAs can use in a customer conversation that same week</li>\n</ul>\n<ul>\n<li>Build AI-powered tools that make the field smarter: Glean agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals</li>\n</ul>\n<ul>\n<li>Define and track KPIs that measure field readiness, and whether SAs are actually winning more Lakebase deals</li>\n</ul>\n<ul>\n<li>Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments - customer executive briefings, select competitive POCs, because what you build is sharper when you&#39;ve defended the position in front of a customer executive, not just written it down</li>\n</ul>\n<ul>\n<li>Take a step back, think strategically and innovate your approaches to keep up with the fast-paced environment.</li>\n</ul>\n<h4>What We Look For</h4>\n<ul>\n<li>8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement</li>\n</ul>\n<ul>\n<li>You&#39;ve been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible</li>\n</ul>\n<ul>\n<li>Demonstrated ability to go deep fast in unfamiliar technical domains - the &quot;T-shaped&quot; technologist who can become credible in a new technology one quarter and a new category the next</li>\n</ul>\n<ul>\n<li>Builder mentality: you default to building tools, demos, and automations - not decks. You use AI tools as a daily force multiplier, not a novelty</li>\n</ul>\n<ul>\n<li>Demonstrated ability to build enablement programs from scratch (0-to-1) - not just iterate on existing content. You see a blank page as an opportunity, not a problem</li>\n</ul>\n<ul>\n<li>Strong product instinct: you can look at a feature roadmap for a brand-new category and immediately see how it maps to customer use cases and competitive differentiation</li>\n</ul>\n<ul>\n<li>Experience working directly with Product and Engineering teams as a peer, not just a consumer of their content</li>\n</ul>\n<ul>\n<li>The backbone to tell Product &quot;the field can&#39;t sell this because X&quot; - backed by data and field evidence</li>\n</ul>\n<ul>\n<li>Scaling mindset: everything you build needs to work for a global technical field team, not a 20-person workshop. You think about leverage and automation before you think about live delivery</li>\n</ul>\n<ul>\n<li>Exceptional communication skills - you can make complex technical concepts accessible to a broad audience, from SAs to C-Suite</li>\n</ul>\n<h4>Nice to Have</h4>\n<ul>\n<li>Experience at a high-growth infrastructure company during a major product launch</li>\n</ul>\n<ul>\n<li>Background in both pre-sales and post-sales technical roles - you&#39;ve lived the full customer lifecycle</li>\n</ul>\n<ul>\n<li>Hands-on experience with Databricks or competitive platforms</li>\n</ul>\n<ul>\n<li>Experience building AI applications on operational databases (RAG patterns, agent architectures, etc.)</li>\n</ul>\n<ul>\n<li>You&#39;ve already used AI to build at scale - automating content creation, building internal tools, or shipping demos faster than anyone thought possible</li>\n</ul>","enriched_at":1777118747878},{"id":"job_78718a5a-14f","title":"Solutions Architect Spain","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8506127002","location":"Madrid","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone.</p>\n<p>We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.</p>\n<p>As a Solutions Architect Spain, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data &amp; Intelligence Platform can help customers solve their complex data challenges.</p>\n<p>You&#39;ll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.</p>\n<p>Join us in our quest to change how people work with data and make a better world!</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Form successful relationships with clients in Spain, providing technical and business value to Databricks customers in collaboration with Account Executives.</li>\n</ul>\n<ul>\n<li>Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.</li>\n</ul>\n<ul>\n<li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.</li>\n</ul>\n<ul>\n<li>Grow your knowledge and expertise to the level of a technical and/or industry specialist.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.</li>\n</ul>\n<ul>\n<li>Develop customer relationships and build internal partnerships with account executives and teams.</li>\n</ul>\n<ul>\n<li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.</li>\n</ul>\n<ul>\n<li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li>\n</ul>\n<ul>\n<li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.</li>\n</ul>\n<p>Mandatory requirements:</p>\n<ul>\n<li>The location for the role should be in the Madrid region (i.e. within a commutable distance for a hybrid schedule).</li>\n</ul>\n<ul>\n<li>Flexibility to travel (up to 30% as required for customer meetings, events and trainings).</li>\n</ul>\n<ul>\n<li>Business proficiency in both Spanish and English required.</li>\n</ul>","enriched_at":1777032802380},{"id":"job_2b5f7742-8d5","title":"Solutions Architect - Montreal","source_url":"https://job-boards.greenhouse.io/databricks/jobs/6679262002","location":"Montréal, Canada","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>As a Solutions Architect at Databricks within the Field Engineering org, you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.</p>\n<p>In partnership with our Account Executives, you will engage with our customers&#39; technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer&#39;s needs and build valuable customer engagements and report to the Field Engineering Manager.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.</li>\n<li>Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.</li>\n<li>You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.</li>\n<li>Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.</li>\n<li>Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:</li>\n<li>Big data engineering (Ex: Spark, Hadoop, Kafka)</li>\n<li>Data Warehousing &amp; ETL (Ex: SQL, OLTP/OLAP/DSS)</li>\n<li>Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)</li>\n<li>Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)</li>\n<li>Experience translating a customer&#39;s business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.</li>\n<li>Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.</li>\n<li>Fluent in SQL and database technology.</li>\n<li>Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.</li>\n<li>[Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP</li>\n<li>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)</li>\n<li>Travel to customers in your region up to 30% of the time.</li>\n</ul>","enriched_at":1777032793354},{"id":"job_6c7ddfe8-e54","title":"Solutions Architect (Greater China Region)","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8499584002","location":"Singapore","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone.</p>\n<p>We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.</p>\n<p>As a Solutions Architect in the Greater China Region, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.</p>\n<p>You&#39;ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.</p>\n<p>Join us in our quest to change how people work with data and make a better world!</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Form successful relationships with clients in the Greater China Region to provide technical and business value in collaboration with Account Executives.</li>\n</ul>\n<ul>\n<li>Operate as an expert in big data analytics to excite customers about Databricks.</li>\n</ul>\n<ul>\n<li>Develop into a &#39;champion&#39; and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.</li>\n</ul>\n<ul>\n<li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.</li>\n</ul>\n<ul>\n<li>Grow your knowledge and expertise to the level of a technical and/or industry specialist.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.</li>\n</ul>\n<ul>\n<li>Develop customer relationships and build internal partnerships with account executives and teams.</li>\n</ul>\n<ul>\n<li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark.</li>\n</ul>\n<ul>\n<li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li>\n</ul>\n<ul>\n<li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.</li>\n</ul>\n<ul>\n<li>Business proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs.</li>\n</ul>\n<p>The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions.</p>","enriched_at":1777032768156},{"id":"job_8ba165a2-46e","title":"Solutions Architect","source_url":"https://job-boards.greenhouse.io/databricks/jobs/6679259002","location":"Ottawa, Canada","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>As a Solutions Architect on the Canada team focused on Digital Native customers, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.</p>\n<p>Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.</p>\n<p>You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.</li>\n</ul>\n<ul>\n<li>Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.</li>\n</ul>\n<ul>\n<li>Validate integrations with cloud services, home grown tools, and other 3rd party applications.</li>\n</ul>\n<ul>\n<li>Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.</li>\n</ul>\n<ul>\n<li>Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.</li>\n</ul>\n<ul>\n<li>Experience building distributed data systems.</li>\n</ul>\n<ul>\n<li>Comfortable programming in, and debugging, Python and SQL.</li>\n</ul>\n<ul>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP.</li>\n</ul>\n<ul>\n<li>Expertise in one of the following:</li>\n</ul>\n<ul>\n<li>Data Engineering technologies (Ex: Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)</li>\n</ul>\n<p>Available to travel to customers in your region.</p>\n<p>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).</p>\n<p>Nice to have: Databricks Certification.</p>","enriched_at":1777032754234},{"id":"job_ba633e71-68b","title":"Senior Solutions Architect","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8509683002","location":"Remote - Denmark; Stockholm, Sweden","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<h3>About the Role</h3>\n<p>At Databricks, we are looking for a Senior Solutions Architect to join our Nordics Hunter team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data &amp; AI platform on Greenfield accounts.</p>\n<p>You will thrive in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful.</p>\n<h3>The Impact You Will Have</h3>\n<h4>Technical Strategy &amp; Leadership</h4>\n<p>Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data &amp; AI practitioners, business domains and all the way up to C-level.</p>\n<h4>Executive Advisory</h4>\n<p>Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment.</p>\n<h4>Raise the Bar</h4>\n<p>Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.</p>\n<h4>Drive Adoption</h4>\n<p>Move beyond &quot;proof of concept&quot; to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.</p>\n<h4>Mentorship</h4>\n<p>Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity.</p>\n<h3>What We Look For</h3>\n<p><em>Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.</em></p>\n<h4>Requirements</h4>\n<ul>\n<li>8+ years of experience in technical and client-facing roles.</li>\n<li>Deep expertise across the data landscape,including Data Engineering, Data Warehousing, and GenAI,with a strong &quot;AI-Builder&quot; mindset.</li>\n<li>Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals.</li>\n<li>Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.</li>\n<li>Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available.</li>\n<li>Pre-sales experience is a plus, but we value deep technical expertise and stakeholder management skills above all as key must-haves.</li>\n<li>Language &amp; Location: Must be based in Sweden or Denmark with excellent communication skills suited for top-tier customer interactions.</li>\n</ul>\n<h3>Benefits</h3>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>","enriched_at":1777032745926},{"id":"job_90fd490a-1bf","title":"Manager, Field Engineering France  - Specialist Solutions Architects","source_url":"https://job-boards.greenhouse.io/databricks/jobs/8517065002","location":"Paris, France","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning.</p>\n<p>You will guide and get involved to enhance your team&#39;s effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.</p>\n<p>The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy.</p>\n<p>Reporting to the Senior Manager, Field Engineering (Specialist).</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks</li>\n<li>Exceed your region&#39;s consumption targets by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward</li>\n<li>Make your customers extremely successful with Databricks and provide outsized value to their businesses</li>\n<li>Establish relationships across the business to make your customers and team successful</li>\n<li>Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota</li>\n<li>Create positive morale for the team and help 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