Solutions Architect - Fsi

Databricks Databricks · Data AI · Munich, Germany · Field Engineering - Other

Databricks Solutions Architect for Financial Services in Munich, Germany. Focuses on pre-sales technical advisory for their Data Intelligence Platform, including Data Engineering, Data Warehousing, and Data Science. Requires client relationship management, technical proposition delivery, and expertise in big data analytics. Prior coding experience and cloud platform familiarity are necessary. Financial Services experience is preferred.

What you'd actually do

  1. Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive. This includes owning the (or parts thereof) technical relationship with clients from a pre-sales point of view
  2. Become a trusted technical advisor to your customers in the domain of Data Engineering, Data Warehousing and/or Data Science
  3. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform.
  4. Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
  5. Grow your knowledge and expertise to the level of a technical and/or industry specialist.

Skills

Required

  • client relationship management
  • technical advisory
  • pre-sales
  • Data Engineering
  • Data Warehousing
  • Data Science
  • big data analytics
  • public cloud platforms
  • coding in Python, Java, or Scala
  • Spark
  • English proficiency

Nice to have

  • German proficiency
  • Financial Services experience
  • Insurance experience

What the JD emphasized

  • technical relationship with clients
  • trusted technical advisor
  • expert in big data analytics
  • technical and/or industry specialist
  • clients
  • customer questions
  • technical proposition
  • customers' pain-points
  • technical topics and relationships
  • hands-on expertise
  • coding in a core programming language
  • Financial Services and/or Insurances