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Look at all the apps you have on your mobile. Many of these are built by customers that are within our Digital Natives and Startup patch and are 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 foster 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.
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. You'll work with a collaborative, customer-focused team that values innovation and creativity, using 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.
- Gain excitement from clients about Databricks through hands-on evaluation and programming, integrating with the wider cloud ecosystem and 3rd party applications.
- 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.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
- Support your customers by authoring reference architectures, how-tos, and demo applications.
- 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
- Structured approach in working and guiding your customers
- Develop and maintain customer relationships and build internal partnerships with account executives and teams
- Prior experience with coding in a core programming language (i.e., Python, SQL, Java) and willingness to learn a base level of Spark.
- Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
- Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth
- Minimum of 7 years of experience in pre-sales, solution consulting, or related customer-facing technical roles
Notes on mandatory requirements:
- Pre-Sales experience
- The location for the role must be in the Munich or Berlin region (or within a commutable distance for a hybrid schedule).
- Fluency in German and English is required as a minimum.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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.
Skills Required
- Minimum 7 years of experience in pre-sales, solution consulting, or related customer-facing technical roles
- Prior pre-sales experience
- Experience with coding in Python, SQL, Java, or another core programming language
- Willingness to learn Apache Spark
- Proficiency with Big Data Analytics technologies
- Hands-on experience delivering complex proofs of concept
- Experience with one or more public cloud platforms
- Experience with use case discovery, scoping, and complex solution architecture design
- Fluency in German and English
- Ability to work in the Munich or Berlin region, or within commuting distance for a hybrid schedule
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
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Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
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Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
