The Solutions Architects at Databricks are in charge of leading the adoption of Databricks. We engage with customers to help them solve their most important problems, whether that be setting up deep learning nets for image recognition, engineering high-performance data lakes in the cloud with our Delta Lake product, or tuning hyperparameters for text classifiers.
We meet with customers to suggest solutions that they can build with the technology, and see customers through implementing and troubleshooting production systems.
Every Solutions Architect is expected to become an expert with Apache Spark, Delta Lake and MLflow, data engineering, data science, machine learning and / or deep learning, as well as the data technology ecosystem.
As members of Databricks pre-sales staff, we meet with customers early on in their journey with Databricks, so it’s essential that we be able to create and strengthen relationships and that we endeavour to always provide an outstanding customer experience in every interaction.
Our customers are always challenging us with interesting new big-data processing requirements. As the complexity grows for both us and our customers, we are looking to our Solutions Architects to fully understand the architecture that powers our product and how it can best be implemented.
data warehouses; machine learning libraries such as scikit-learn, Keras and Tensorflow; and cloud technologies such as AWS Kinesis, Airflow and Sagemaker and Azure Event Hubs, Data Factory and MLOps.
Our customers are extremely technical, so you must be too!