At Databricks, our customers challenge us with solving some of the world’s toughest data problems. Our customers rely on our Solutions Architect team to fully understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.
Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science & machine learning. As a member of our team, you will exercise and develop expertise in those areas, leveraging open-source projects such as Apache Spark, MLflow, and Delta Lake; and major public cloud infrastructure and services. This is a customer facing role, and you will collaborate with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to realize business value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor.
Databricks culture strongly encourages collaboration and teamwork, and you will have the opportunity to contribute your knowledge back to our teams by participating in one of our SME (subject matter expert) groups. However, this also includes understanding your limits and having a willingness to ask for help!
Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.