Manager, Field Engineering (Pre-Sales) - Nordics Enterprise

<p>(FEQ427R169)</p> <p>As a Field Engineering Manager for the Nordics territory, you will lead a diverse team of technical pre-sales Solutions Architects and Engineers across the region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation.<br><br>You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders.<br><br>The impact you will have:</p> <ul> <li>Lead, mentor, and support a high-performing, inclusive pre-sales team across the Nordics.</li> <li>Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity.</li> <li>Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.</li> <li>Establish best practices that improve team efficiency, collaboration, and business impact.</li> <li>Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey.</li> <li>Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.</li> <li>Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture.</li> </ul> <p>What we’re looking for:</p> <p><em>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> <ul> <li>Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through hands-on engineering or consulting work.</li> <li>A track record of coaching and developing diverse, high-performing teams.</li> <li>Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders.</li> <li>Excellent communication and interpersonal skills; professional proficiency in English (knowledge of any Nordic language is a plus, but not a hard requirement).</li> <li>Technical background in Data Engineering, Databases, or Data Science (consulting or customer-facing experience preferred).</li> <li>Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes.</li> </ul> <p>Notes: </p> <ul> <li>This role is based in Stockholm, within a reasonable commuting distance, and follows a hybrid working model.</li> <li>If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you.</li> </ul> <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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databrickssource=gmailust=1700237575733000usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databrickssource=gmailust=1700237575733000usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> < ... (truncated, view full listing at source)