Senior Solutions Engineer

Senior Solutions Engineer

München Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
Databricks Inc.

Auf einen Blick

  • Aufgaben: Help clients solve complex data challenges using our Data Intelligence Platform.
  • Arbeitgeber: Join Databricks, a leader in data and AI, trusted by over 10,000 organizations worldwide.
  • Mitarbeitervorteile: Enjoy comprehensive benefits, perks, and a commitment to diversity and inclusion.
  • Warum dieser Job: Be part of a creative team that values innovation and makes data accessible for everyone.
  • Gewünschte Qualifikationen: Familiarity with client interactions, coding in Python, Java, or Scala, and Big Data Analytics knowledge.
  • Andere Informationen: Opportunity to develop into an independently operating Solutions Architect.

Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

At Databricks, our core values 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 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 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 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.
  • 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, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
  • Ability to independently deliver a technical proposition, identify customers\‘ pain-points, and explain important areas for business value to develop a trusted advisor skillset.
  • Code in a core programming language such as Python, Java, 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.
  • Experience diving deeper into solution architecture and design.

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.

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, please visit mybenefitsnow.com/databricks .

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.

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Senior Solutions Engineer Arbeitgeber: Databricks Inc.

At Databricks, we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration that empowers our employees to thrive. With a strong commitment to diversity and inclusion, we offer comprehensive benefits and ample opportunities for professional growth, ensuring that every team member can contribute meaningfully to our mission of transforming data into actionable insights. Join us in San Francisco, where you'll be part of a dynamic team dedicated to making a positive impact in the world of data and AI.
Databricks Inc.

Kontaktperson:

Databricks Inc. HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Senior Solutions Engineer

✨Tip Number 1

Familiarize yourself with Databricks' Data Intelligence Platform and its key features. Understanding how it integrates with the cloud ecosystem and third-party applications will help you demonstrate its value to potential clients.

✨Tip Number 2

Engage in community events, workshops, and meet-ups related to Big Data Analytics. This will not only expand your network but also showcase your commitment to the field and help you stay updated on industry trends.

✨Tip Number 3

Practice coding in Python, Java, or Scala, as these are essential for the role. Being able to demonstrate your technical skills through hands-on evaluations will impress both clients and your future team.

✨Tip Number 4

Develop a narrative that aligns with client interests and pain points. Being able to articulate how Databricks can solve specific challenges will position you as a trusted advisor and enhance your chances of landing the job.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Solutions Engineer

Client Relationship Management
Technical Proposition Delivery
Problem Identification and Solution Development
Programming in Python, Java, or Scala
Big Data Analytics Knowledge
Solution Architecture and Design
Hands-on Evaluation of Data Solutions
Integration with Cloud Ecosystems
Reference Architecture Authoring
Pre-sales Technical Expertise
Communication Skills
Collaboration with Cross-functional Teams
Customer-Centric Mindset
Adaptability to New Technologies

Tipps für deine Bewerbung 🫡

Understand the Company Culture: Familiarize yourself with Databricks' core values and mission. Highlight how your personal values align with their customer-centric mindset and commitment to innovation in your application.

Tailor Your Resume: Customize your resume to emphasize your experience with Big Data Analytics, solution architecture, and client engagement. Use specific examples that demonstrate your ability to create value for customers and solve complex data challenges.

Craft a Compelling Cover Letter: Write a cover letter that tells a story about your journey in tech and how it has prepared you for the role of Senior Solutions Engineer. Mention your programming skills in Python, Java, or Scala, and your experience with cloud platforms.

Showcase Your Technical Expertise: In your application, provide examples of past projects where you delivered technical propositions or developed solutions that addressed customer pain points. This will demonstrate your capability as a trusted advisor in the field.

Wie du dich auf ein Vorstellungsgespräch bei Databricks Inc. vorbereitest

✨Show Your Customer-Centric Mindset

Demonstrate your understanding of the importance of a customer-centric approach. Share examples from your past experiences where you successfully identified client pain points and delivered tailored solutions that added real business value.

✨Highlight Your Technical Expertise

Be prepared to discuss your technical skills in programming languages like Python, Java, or Scala. Bring examples of how you've used these skills in previous roles, especially in relation to Big Data Analytics and solution architecture.

✨Engage with Real-World Scenarios

During the interview, engage in discussions about real-world scenarios or case studies. This will showcase your ability to think critically and apply your knowledge to solve complex data challenges, aligning with Databricks' mission.

✨Emphasize Collaboration and Innovation

Talk about your experience working in collaborative environments and how you foster innovation within teams. Highlight any workshops, seminars, or community engagements you've participated in that align with building a technical community.

Senior Solutions Engineer
Databricks Inc.
Databricks Inc.
  • Senior Solutions Engineer

    München
    Vollzeit
    43200 - 72000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-03-29

  • Databricks Inc.

    Databricks Inc.

    1001 - 5000
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