Solutions Architect, EMEA Startups — France

About the role

<p><strong>FEQ427R352&nbsp;</strong></p> <p><strong>Solutions Architect, EMEA Startups — France</strong></p> <p><strong>The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).</strong><strong><br></strong><br>Databricks is a Data and AI company. Our Solutions Architects help customers turn complex data and AI challenges into secure, scalable solutions that deliver measurable business value.</p> <p>The EMEA Startups team works with fast-growing, digital-native companies as they move from early technical exploration to production adoption. In this role, you will engage founders, CTOs, VP Engineering/Data, architects and technical leaders to identify high-impact use cases, shape modern data and AI architectures, and help customers make Databricks a strategic part of their product and technology roadmap.</p> <p>You will work on new-logo accounts in the France,Spain,Italy Startups segment and SMBs, while selectively supporting expansion opportunities in existing accounts. You will operate across a broad and dynamic account set, combining strong technical judgment with business-oriented discovery and signal-based prioritisation.</p> <p>You will partner closely with Account Executives and the wider Field Engineering organisation to create technical wins, accelerate time to value and build lasting customer relationships.</p> <p><br><br><strong>The impact you will have:</strong></p> <ul> <li>Partner with Startups Account Executives to build and execute technical account strategy for acquiring new logos and growing Databricks consumption on existing accounts</li> <li>Engage founders, CTOs, VPs of Engineering/Data, architects and technical practitioners in consultative discovery. Translate business priorities into clear data, analytics, AI and platform use cases.</li> <li>Lead the technical sales motion from discovery through evaluation: define success criteria, develop solution architectures, deliver demonstrations, guide sizing, run or coordinate proofs of concept, and establish a clear path to adoption.</li> <li>Provide technical leadership across data engineering, data warehousing, analytics and BI, machine learning, GenAI, Apps, Lakebase and related cloud-native workloads.</li> <li>Establish technical wins by connecting customer outcomes to the Databricks platform and helping stakeholders make confident architecture and technology decisions.</li> <li>Use account context and customer signals—including consumption movement, user activity, feature adoption, architecture, security and cost considerations—to prioritize high-value technical engagements and create relevant points of view.</li> <li>Contribute to the startup and technical ecosystem through workshops, office hours, meetups, events, partner activity and other 1:many engagements.</li> <li>Collaborate with Sales, Product, Engineering, delivery and services teams, Support and technology partners to represent customer needs, remove technical blockers and accelerate adoption.</li> </ul> <p data-renderer-start-pos="1648">&nbsp;</p> <p><strong>What we look for:</strong></p> <ul> <li>5+ years of experience in a customer-facing pre-sales, technical architecture, consulting or equivalent role.</li> <li>A track record of leading technical discovery and architecture discussions with software engineers, data teams, architects and senior technical decision-makers.</li> <li>Experience designing and architecting distributed data systems and cloud-native solutions.</li> <li>Hands-on programming experience in at least one of Python, SQL, Scala, or Java.</li> <li>Experience building solutions with one or more public-cloud providers, such as AWS, Azure or GCP.</li> <li>Depth in at least one relevant domain, such as data engineering, data warehousing, analytics and BI, data science, machine learning, GenAI, streaming, OLTP or data governance.</li> <li>Experience taking ambiguous customer problems from use-case discovery through solution de

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