Sr. Solutions Engineer

Databricks
Stockholm
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Python","Spark","Databricks","Cloud","Communication","Presentation","Problem-solving"]

As a Sr. Solutions Engineer at Databricks, you will translate customer data challenges into compelling Databricks-based solutions, work with an Account Executive and Senior Solutions Architect, and guide customers through hands-on evaluations of Spark on the Databricks platform, shaping architecture and data engineering decisions while building the technical community.

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FursaFursa
Databricks
Databricks
2 months ago

Sr. Solutions Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

As a Sr. Solutions Engineer at Databricks, you will translate customer data challenges into compelling Databricks-based solutions, work with an Account Executive and Senior Solutions Architect, and guide customers through hands-on evaluations of Spark on the Databricks platform, shaping architecture and data engineering decisions while building the technical community.
Location: Stockholm
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key 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.
  • •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.

Key Requirements

  • •Proficient in Python with hands-on experience in Spark and Databricks.
  • •Experience in solution architecture and data engineering within the big data analytics domain.
  • •Ability to independently deliver a technical proposition and articulate business value to customers.
  • •Familiarity with cloud ecosystems and integrating with third-party applications.
  • •Strong client-facing skills and ability to build trusted advisor relationships.
Experience:Big Data AnalyticsCloudSparkDatabricksData engineering
Skills:PythonSparkDatabricksCloudCommunicationPresentationProblem-solving
Languages:English
Tech Stack:PythonSparkDatabricksCloudAWSAzureGCP

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn