Sr. Solutions Engineer - New Workload
Job Description
- Fluency in additional regional languages, such as Italian or French, may be advantageous.
- Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
- Code in a core programming language such as Python, Java, or Scala.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
- Experience in AI/ML MVPs and/or SAP Business Data Cloud with leading consulting firms or hyperscalers.
- Experience diving deeper into solution architecture and design.
- Location for the role is Munich (or within a commutable distance for a hybrid schedule). The location could also potentially be in Berlin.
- Flexibility to travel (up to 20–30% as required for customer meetings, events, and training).
- Business proficiency in both German and English is required as a minimum.
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
Notes on mandatory requirements:
- Location for the role is Munich (or within a commutable distance for a hybrid schedule). The location could also potentially be in Berlin.
- Flexibility to travel (up to 20–30% as required for customer meetings, events, and training).
- Business proficiency in both German and English is required as a minimum. Fluency in additional regional languages, such as Italian or French, may be advantageous.
The impact you will have:
- Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
- Become a Big Data Analytics advisor on aspects of architecture and design.
- Support your customers by authoring reference architectures, how-tos, and demo applications.
- Focus are Strategic customers, who are wanting to use Databricks, helping to gain traction and accelerate the platform usage by winning new use cases
- Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.
What we look for:
- Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
- Code in a core programming language such as Python, Java, or Scala.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
- Experience in AI/ML MVPs and/or SAP Business Data Cloud with leading consulting firms or hyperscalers
- Experience diving deeper into solution architecture and design.
