Solutions Architect
vor 5 Tg.


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.

  • In addition to Apache Spark, our Solutions Architects work with a huge range of technologies such as Kafka; NoSQL databases;
  • 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!


  • Provide technical leadership in a pre-sales capacity for customers
  • Support successful understanding, evaluation and adoption of Databricks
  • Enable customers by working interactively with them, especially in our hosted Databricks notebooks
  • Consult on architecture and design, bootstrap, and / or implement strategic customer projects
  • Build reference architectures, how-tos, and demo applications for customers
  • Architect, implement, and / or validate integrations with 3rd party applications
  • Engage with the technical community through leading workshops, seminars and meet-ups
  • Travel within your assigned territory (UK&I, Nordics, or Benelux) to meet your prospects and customers
  • Competencies

  • Outstanding verbal and written communication skills, including presenting and whiteboarding
  • Experience in a customer-facing role : pre-sales, technical architecture or consulting
  • Ability to design and architect distributed data systems within AWS, Azure or GCP
  • Proficient writing Spark code in either Python or Scala; R & Java are desirable
  • A core strength in either data engineering, data science, machine learning or deep learning
  • Ideally, some experience with other parts of the big data ecosystem such as NoSQL
  • Undergraduate degree in computer science, mathematics, physics or a related field
  • Post-graduate training in a mathematical or scientific field is highly desirable
  • Comfortable with short-term travel to customer meetings within the assigned territory
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