<p>(FEQ128R9)</p> <h3><strong>The role:</strong></h3> <p>At Databricks, our core values are at the heart of everything we do; a culture of proactivity and a customer-centric mindset guide us in creating a unified platform that makes Data Engineering, Data Science, Analytics & GenAI accessible to everyone. 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> <p>As a Senior Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype - a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.</p> <p>This role will report to a Field Engineering Manager in the Emerging Enterprises team. <br><br></p> <h3><strong>The impact you will have:</strong></h3> <ul> <li>Drive the technical and consumption strategy in partnership with Account Executives for Startup & Digital Native customers in the Nordics region, directly influencing platform adoption and revenue growth.</li> <li>You will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and 3rd-party applications, ensuring they are excited by the Databricks vision and solution strategy.</li> <li>Be a 'champion’ for both customers and colleagues, operating as an expert architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence platform.</li> <li>Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.</li> <li>Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement</li> <li>Coach junior Solutions Architects and teams on use-case prioritisation and on building technical champions.</li> </ul> <p> </p> <h3><strong>What we look for:</strong></h3> <p><em>(Note: it is not expected that you “tick every box” below and encourage you to apply if you are meeting several of the expected criteria and can demonstrate a strong ability to transfer skills and develop quickly in the role!) </em><strong><br><br></strong></p> <ul> <li>8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role</li> <li>A strong "AI-Builder" mindset; Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview process. </li> <li>Proven track record of driving consumption growth and platform adoption with customers. Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role.</li> <li>Strong technical architecture skills with deep expertise in enterprise data technologies: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms</li> <li>Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP or equivalent depth in competing modern data platforms with demonstrated rapid learning ability)</li> <li>Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions</li> <li>Executive presence and strong strategic thinking - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy - connecting technical architecture decisions to business outcomes and revenue impact</li> <li>Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued</li> </ul> <p> </p> <p><em>Note: the contract for this position will be formalised with a global Employer of Record (EOR). Further specific details on this setup can be discussed during initial screening calls. </em></p> <p>#LI-hybrid</p><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Data