Solutions Engineer - Mountain View California

Company: Databricks Inc.
Location: Mountain View, California
Posted On: 05/09/2025

Specifically targeting candidates based in Mountain View, CAAt Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers-offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You'll play a key role in this mission, building upon your emerging technical skills in solutions engineering, applying them within the Databricks platform, and demonstrating to customers how to address real-world data challenges. Join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Help us change how the world works with data-and shape your future while you're at it!This will start as an in-office role, and candidates must be based in one of our offices in Chicago, Mountain View (CA), or New York. Relocation assistance is not available at this time.

• Build successful relationships with customers across your territory, providing technical and business value in collaboration with Account Executives.
• Become an expert in big data analytics to excite and advise customers about Databricks. Develop into a trusted advisor on architecture, design, and implementation to ensure successful platform adoption.
• Support customers by creating reference architectures, how-tos, demo applications, and leading regional workshops, seminars, and meet-ups to build the Databricks community.
• Enhance your knowledge to become a technical or industry specialist.What we look for:
  • At least 2+ years of technical experience in a customer-facing solutions engineering role.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience.
  • Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
  • Experience with Big Data technologies (e.g., Spark, Hadoop, Kafka) and architectures is a plus.
  • Strong interpersonal skills to interact confidently and professionally with customers.
  • Ability to meet technical training and role-specific outcomes within 6 months of hire.Pay Range TransparencyDatabricks is committed to fair compensation. The pay range for this role is listed below, representing base salary or on-target earnings for commissionable roles. Actual compensation depends on skills, experience, certifications, and location. The total package may include bonuses, equity, and benefits. For more details, visit our page here.Zone 1 Pay Range: $94,300 - $166,900 USDZone 2 Pay Range: $94,300 - $166,900 USDZone 3 Pay Range: $94,300 - $166,900 USDZone 4 Pay Range: $94,300 - $166,900 USDAbout DatabricksDatabricks is the data and AI company trusted by over 10,000 organizations worldwide, including Fortune 500 companies. Headquartered in San Francisco, we were founded by the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. Follow us on Twitter, LinkedIn, and Facebook to learn more.BenefitsWe offer comprehensive benefits tailored to regional needs. For details, visit https://www.mybenefitsnow.com/databricks.Our Commitment to Diversity and InclusionWe foster a diverse and inclusive culture, considering all applicants without regard to protected characteristics.ComplianceAccess to export-controlled technology or source code may require a U.S. government license, and we reserve the right to decline applications based on this criterion.
    #J-18808-Ljbffr More...

        

    ---

    Register an account with us and set up job agents! We'll email you immediately when jobs like this are posted on our site.

    ---