Als Sr. Technical Solutions Engineer los je complexe klantproblemen op binnen de Databricks-ecosysteem met technologieën zoals SQL, Python, Azure en AWS. Deze rol biedt de kans om diepgaande kennis op te bouwen van Big Data-oplossingen en bij te dragen aan klanttevredenheid door strategische begeleiding en technische ondersteuning te bieden.
CSQ427R82 As a Sr. Technical Solutions Engineer, you will provide technical support for Neon and Databricks Platform-related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. The impact you will have: Troubleshoot and resolve complex customer issues related to Neon and the wider Databricks ecosystem Provide best practices support for custom-built solutions developed by customers Deliver suggestions for improving performance in customer-specific environments Assist with issues around third-party integrations with Databricks environment Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests Participate in the creation and maintenance of company documentation and knowledge articles Be a true proponent of customer advocacy Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs Participate in weekend and weekday on call rotation What we look for: A thorough knowledge of PostgreSQL is required. Working and hands-on experience with other SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is desirable Experience of at least one of the following : Designing, building, testing, and maintaining Python/Java/Scala based applications, with a thorough knowledge of python. Developing with Spark and any of : Big Data, Hadoop, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch Linux/Unix administration skills. Hands-on experience with AWS, Azure or GCP. Candidates must possess excellent English written and oral communication skills. Experience with the "Distributed Big Data Computing" environment. Technical degree or the equivalent experience. About Databricks 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 Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit