Senior Scale Solution Engineer

<p data-pm-slice="1 1 []">CSQ427R351</p> <div class="inner-wrapper"> <div class="rich-text-body b2 w-full lg:w-7/12"> <div> <p>At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale.</p> <span style="font-weight: 400;"><br></span><strong>The impact you will have:</strong> <ul> <li>You will ensure customers have an excellent experience by independently owning engagements across their lifecycle.</li> <li>You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows.</li> <li>You will work directly with multiple customers concurrently and set the quality bar for the team.</li> </ul> <strong>What we look for:</strong> <ul> <li>Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform.</li> <li>Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience.</li> <li>4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.</li> <li>Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus.</li> <li>Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows.</li> <li>Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs.</li> <li>Excellent time management and prioritization skills.</li> <li>Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions.</li> </ul> </div> </div> </div> <div id="apply" class="mt-3 w-full"></div><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&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Dat