FEQ225R22

At Databricks, our core values are at the heart of everything we do; 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 & Intellgience Platform can help customers solve their complex data challenges and serve as the trusted technical advisor for your customers.

You will work directly with technical and business leaders on their Data and AI strategy and the execution of it, using your skills to demonstrate the value of Databricks as a platform. You'll work with a cross-regional,  collaborative, customer-focused team in partnership with our different internal departments, wider teams and partners. You will directly report to the Continental Field Engineering Leader. Join us in our quest to change how people work with data and make a better world! The location for this position is Munich.

The impact you will have:

• You will form successful relationships at senior levels with clients throughout your assigned territory to provide technical thought leadership and value in collaboration with an Account Executive.
• You will help build the Databricks technical footprint through engagement at business reviews, workshops, data and ai events and meet-ups.
• You will strengthen your skills - both technically and in the pre-sales aspect - with the goal of becoming an independently operating Solutions Architect.
• You will support your customers by authoring reference architectures, how-tos, and demo applications.
• You will advise our customers as a trusted advisor on how to best realize their data and ai use cases.
• You will create excitement from clients about Databricks with our rich offering of 1-many webinars, customer office hours, hands-on evaluation and integrating with the wider cloud ecosystem, 3rd party applications and partners.
• You will become a Big Data Analytics advisor on aspects of architecture and design.

What we look for:

• 7+ years of experience in working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes.
• Independently deliver a technical proposition, identify customers' pain-points, and explain important areas of business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, SQL or Java.
• 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 diving deeper into solution architecture and design.
• Good to have: Cloud certification from AWS, Microsoft or GCP or relevant experience
• Databricks experience/ certifications are a bonus
• Business proficiency in German
• Travelling approx. 20-30% of the time

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

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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.