Description
At Databricks, our core values are at the heart of everything we do. Our 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.
As a Sr. Solutions Engineer, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data and Intelligence Platform can help customers solve their complex data challenges.
You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use 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!
The impact you will have:
- Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
- 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.
- Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
- Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
- Passion for delivering technical propositions, identifying customers' pain points and explaining essential areas for business value to develop a trusted advisor skillset.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced Data Engineering and/or Data science use cases.
- Experience diving deeper into solution architecture and expertise with at least one major public cloud platform.
- Code in a core programming language like Python, Java, or Scala.
- A foundational understanding of Apache Spark architecture is preferable; hands-on skills will benefit the role.
Notes on mandatory requirements:
- Flexibility to travel (up to 20-30% as required for customer meetings, events, and training).
- Business proficiency in French and English is required. Fluency in additional regional languages may be advantageous.