Scale Solution Engineer

<p>CSQ226R148</p> <p><strong>Mission:</strong></p> <p>At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Data Intelligence platform. As a Scale Solution Engineer, you will play a critical role in advising Customers in their onboarding journey. You will directly work with customers to help them onboard and deploy Databricks in their Production environment.</p> <p><strong>The impact you will have </strong></p> <ul> <li>You will ensure new customers have an excellent experience by providing them with technical assistance early in their journey.</li> <li>You will become an expert on the Databricks Platform and guide customers in making the best technical decisions to achieve their goals.</li> <li>You will work on multiple tactical customers to track and report their progress.</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience</li> <li>Early-career technical professional ideally in data-driven or cloud-based roles.</li> <li>Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.</li> <li>Knowledge of a programming language - Python, Scala, or SQL</li> <li>Knowledge of end-to-end data analytics workflow</li> <li>Hands-on professional or academic experience in one or more of the following:</li> <ul> <li>Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)</li> <li>Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)</li> </ul> <li>Excellent time management and prioritization skills </li> <li>Excellent written and verbal communication</li> <li>Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)</li> </ul> <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 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/databricks&source=gmail&ust=1700237575733000&usg=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/databricks&source=gmail&ust=1700237575733000&usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&source=gmail&ust=1700237575733000&usg=AOvVaw39EcncitnlqV ... (truncated, view full listing at source)