Sr. Solutions Architect - Public Sector (Federal Health)

<p data-renderer-start-pos="1648">FEQ426R428</p> <p><strong>Mission</strong></p> <p>As a Sr. Solutions Architect on the Databricks Public Sector Federal Health team, you will serve as a consultative partner to our customers, demonstrating genuine empathy for their mission to support the health of citizens and veterans, improve access to earned pensions, and enhance the safe, efficient movement of goods and families across the United States. Your creativity will empower you to envision new possibilities for leveraging our unified data and AI platform, while your curiosity will drive you to understand client challenges and ambitions at a deep level. We seek individuals who show grit and resilience as we tackle complex problems together with our customers, backed by expertise in cloud platforms, data engineering, analytics, data science, and AI.</p> <p><strong>The impact you will have:</strong></p> <ul> <li>Partner with the sales team to help customers understand how Databricks can help solve their business problems</li> <li>Provide technical leadership for customers to evaluate and adopt Databricks</li> <li>Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications</li> <li>Build and present references architectures, how-tos, and demo applications for customers</li> <li>Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars</li> <li>Travel to customers in your region</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>8+ years in a customer-facing pre-sales, technical architecture, or consulting role</li> <li>Experience designing and architecting distributed data systems</li> <li>Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R</li> <li>Experience supporting Public Sector clients</li> <li>Have built solutions with public cloud providers such as AWS, Azure, or GCP</li> <li>Data Engineering technologies (<em>Ex: Spark, Hadoop, Kafka</em>)</li> <li>Data Warehousing (<em>Ex: SQL, OLTP/OLAP/DSS</em>)</li> <li>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)</li> <li>US Citizen</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> ... (truncated, view full listing at source)