Databricks

Solutions Architect

Databricks

full-time

Posted on:

Origin:  • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSAzureBootstrapCloudGoogle Cloud PlatformPythonScalaSpark

About the role

  • Work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform
  • Provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks
  • Complete projects according to specification with excellent customer service and report to the regional Manager/Lead
  • Design and build reference architectures, create how-to guides and productionalize customer use cases
  • Scope professional services work with engagement managers and customer input
  • Guide customers implementing transformational big data projects and 3rd party migrations, including end-to-end design, build and deployment of big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects to drive Databricks evaluation and adoption
  • Provide escalated support for customer operational issues and work with Engineering and Customer Support to resolve product and support issues

Requirements

  • Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices
  • Comfortable writing code in either Python or Scala
  • Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP)
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel is required up to 10%, more at peak times.
  • Databricks Certification