FEQ126R35

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 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!

 You will report to the Director, Field Engineering in Germany leading the Emerging team.

Location: Munich

The impact you will have:

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks through hands-on consulting, 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 and scale best practices in your field.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• 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 on technical and business value propositions in aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to deliver a technical proposition, identify customers' pain-points, and explain important areas for businesses to develop a trusted advisor skillset.
• Code in a core programming language such as Python, SQL 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.
• 3+ years of experience diving deeper into solution architecture and design.

Benefits

• Private medical insurance
• Life, accident & disability insurance
• Pension Plan
• Vision Reimbursement
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus