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Data & Analytics

Sr. Solutions Engineer

Central - United StatesFull TimeSenior$152,300–$209,450 /yrPosted 2 months ago

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Role summary

Databricks is seeking a Sr. Solutions Engineer to join their pre-sales team. This role focuses on helping large enterprises become more data-driven by defining and directing technical strategies for key accounts, leading to increased adoption of ML & AI products. The engineer will act as the main technical voice, guiding customers through their data transformation journey and building technical champions within client organizations. Key responsibilities include understanding ML & AI applications, working with sales teams, and driving business outcomes. The ideal candidate possesses a strong background in value selling, technical account management, big data, data science, cloud platforms (Azure, AWS, GCP), and production programming (Python, R, Scala, Java). Experience with large global accounts and executive relationship building is essential.

REQ ID FEQ327R16

Location: Central US

We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Sr. Solutions Engineer defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region.

The impact you will have:

  • You work with multiple clients as the main technical voice for Databricks.
  • You help guide your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy.
  • You implement the technical strategy in the account, in close understanding of the strategy.
  • You build a movement of technical champions within the account.
  • You align technical strategies around Databricks solutions.
  • You work with your sales team and technical peers to drive business outcomes for our clients.

    • What we look for:

  • Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
  • Experience working very large (> $1m ARR), global accounts.
  • Form relationships with executives and influencers.
  • Present a convincing point-of-view to important decision-makers that leads them down a path of success.
  • Technical in big data, data science and cloud (Azure, AWS, GCP).
  • An ability in data-driven business transformation, and driving change with data.
  • Production programming experience in Python, R, Scala or Java.
  • Nice to have: Databricks, Snowflake, AWS, Azure, or GCP Certification.

    • Pay Range Transparency

    Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

    Zone 2 Pay Range
    $152,300—$209,450 USD
    Zone 3 Pay Range
    $152,300—$209,450 USD
    Zone 4 Pay Range
    $152,300—$209,450 USD

    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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt 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.

    Sample Databricks interview questions

    • 1

      What trends do you anticipate in account management?

      technicalmedium
    • 2

      What would you do if a buyer said they wanted to go with Snowflake instead

      case studyaverage
    • 3

      What is your strategy for Sales Development Representatives (SDRs)?

      strategydifficult
    • 4

      Monte uma apresentação sobre determinado cliente.

      executiondifficult
    • 5

      How do you handle customer objections to using your paper?

      case studyaverage

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