Solutions Architect
Databricks
München, Germany
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, GermanJob location
München, Germany
Tech stack
Java
Artificial Intelligence
Big Data
Computer Programming
Data Warehousing
Python
Scala
SQL Databases
Spark
Requirements
Do you have experience in Spark?, * Develop customer relationships and build internal partnerships with account executives and teams.
- Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and at least a base level in Spark.
- Builder mindset with a passion for quick prototyping as well as experience in vibe coding.
- 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.
- Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind.
- Experience in the delivery of Retail & CPG industry projects is a strong plus.
- Spikes in production-grade SQL/DWH or ML/AI are advantageous.
- Fluency in German is a strong advantage.
Benefits & conditions
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
About the company
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 that 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 with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
* Operate as an expert in big data analytics to excite customers about Databricks. 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.
* Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
* Grow your knowledge and expertise to the level of a technical and/or industry specialist.
* Take ownership of your running projects, driving them forward with strong project management discipline and a high sense of accountability.
What we look for:
* Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions - operating as a trusted advisor., 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.