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Databricks

Builds cloud software for data analysis and AI

Senior Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeStockholm, SwedenNo salary listedIn-person

About the Job

Requirements

  • 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 skill set.
  • Ability to code in a core programming language such as Python.
  • Knowledge of a core Big Data Analytics domain, some exposure to advanced proofs of concept, and an understanding of a major public cloud platform.
  • Experience diving deeper into solution architecture and Data Engineering.

Responsibilities

  • Form successful relationships with clients throughout the assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
  • Generate client excitement about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and third-party applications.
  • Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
  • Advise customers on Big Data Analytics aspects of architecture and design.
  • Support customers by authoring reference architectures, how-tos, and demo applications.
  • Develop technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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