About this role
FEQ227R33
At Databricks, our core values 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 that values innovation and creativity, using your skills to create customised 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!
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. This includes owning the (or parts thereof) technical relationship with clients from a pre-sales point of view
Gain excitement from clients about Databricks including the wider cloud ecosystem and 3rd party applications
Become a trusted technical advisor to your customers in the domain of Data Engineering, Data Warehousing and/or Data Science
Advise and guide the customer’s Databricks platform team from a pre-sales point of view
Support your customers by authoring reference architectures, how-tos, and demo applications
Engaging with customers and the broader Databricks technical community through workshops, seminars, enablements and meet-ups.
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.
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.
Code in a core programming language such as Python, Java, or Scala.
A proactive mindset who likes to work as a part of a larger account team and enjoys to independently take ownership of technical topics and relationships
Full professional proficiency in English and German
Ability to travel on a weekly basis
Experience in Financial Services and/or Insurances preferred
Responsibilities
- 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
- Gain excitement from clients about Databricks including the wider cloud ecosystem and 3rd party applications
- Become a trusted technical advisor to your customers in the domain of Data Engineering, Data Warehousing and/or Data Science
- Advise and guide the customer’s Databricks platform team from a pre-sales point of view
- Support your customers by authoring reference architectures, how-tos, and demo applications
- Engaging with customers and the broader Databricks technical community through workshops, seminars, enablements and meet-ups.
- Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect
- Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
Requirements
- Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
- 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.
- Code in a core programming language such as Python, Java, or Scala.
- A proactive mindset who likes to work as a part of a larger account team and enjoys to independently take ownership of technical topics and relationships
- Full professional proficiency in English and German
- Ability to travel on a weekly basis
- Experience in Financial Services and/or Insurances preferred
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.