Sr. Solutions Engineer

1 Week ago • All levels
Devops

Job Description

At Databricks, we empower customers to solve complex data challenges using our Data Intelligence Platform. As a Sr. Solutions Engineer, you will build successful client relationships, demonstrate the value of Databricks through hands-on evaluations and Spark programming, and integrate with cloud ecosystems. You will contribute to the technical community, advise on Big Data Analytics architecture, and develop customized solutions to help businesses achieve their goals, ultimately becoming an independently operating Solutions Architect.
Must Have:
  • Form successful relationships with clients throughout your assigned territory to provide technical and business value.
  • 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.
  • 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.

Add these skills to join the top 1% applicants for this job

data-analytics
game-texts
spark
data-science
python
scala
java

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 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.

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