Senior Solutions Engineer (Cross-Geo/Fungible)

(FEQ425R30)

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 who 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 working with Account Executives and Solutions Architects to provide technical and business value to clients across assigned territories/geos.
• Gain excitement from clients about Databricks through hands-on evaluation, integrating with the wider cloud ecosystem and 3rd party applications.
• Help build the Databricks technical 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.
• Develop both technical and pre-sales skills with the goal of developing into 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.
• Passion for delivering technical propositions, identifying customers' pain-points and explaining important 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 (i.e. GCP, AWS, Azure).
• Code in a core programming language such as Python, SQL, Java, or Scala.
• A foundational understanding of Apache Spark architecture is preferable, hands-on skills will be advantageous for the role.

Mandatory requirements:

• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).
  
  • Note: we may be able to consider Madrid (Spain) or Milan (Italy) on a case-by-case basis.
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings).
• Business proficiency in both French and English required. Fluency in additional regional languages will be advantageous.

#LI-hybrid