Look at all the apps you have on your mobile. Many of these are built by customers within our Digital Natives and Startup patch, using Databricks to support their business.
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 complex data challenges.
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.
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.
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 and a Senior Solutions Architect.
- Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and third-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.
- 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:
- Experience working with clients, creating narratives, answering customer questions, aligning agendas with interests, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition, identify customer pain points, and explain areas for business value to develop a trusted advisor skillset.
- Prior experience with coding in a core programming language (e.g., Python, SQL, Java) and willingness to learn Spark.
- Knowledge in a core Big Data Analytics domain with exposure to proofs-of-concept and understanding of a major public cloud platform.
- Experience in solution architecture and design.
About Databricks
Databricks is the data and AI company. Over 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. Headquartered in San Francisco, with offices globally, Databricks was founded by the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. Follow us on Twitter , LinkedIn , and Facebook .
Benefits
We strive to provide comprehensive benefits and perks that meet our employees\‘ needs. For specific details, visit our benefits page .
Our Commitment to Diversity and Inclusion
We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards, considering applicants without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, 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 your role, the employer may need to apply for a U.S. government license, and may decline to proceed with an applicant on this basis.
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Kontaktperson:
Databricks Inc. HR Team