Solutions Architect

Databricks
Munich
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer-focused","Relationship building","Communication","Technical consulting","Problem-solving"]

Work with Account Executives to deliver technical and business value to Databricks customers across your territory. Act as a trusted advisor and big data analytics expert, guiding architecture, design, and implementation to drive adoption of the Databricks Data Intelligence Platform. Author reference architectures, how-tos, and demo applications, and build regional momentum through workshops, seminars, and meet-ups while growing into a technical and/or industry specialist.

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FursaFursa
Databricks
Databricks
2 months ago

Solutions Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Work with Account Executives to deliver technical and business value to Databricks customers across your territory. Act as a trusted advisor and big data analytics expert, guiding architecture, design, and implementation to drive adoption of the Databricks Data Intelligence Platform. Author reference architectures, how-tos, and demo applications, and build regional momentum through workshops, seminars, and meet-ups while growing into a technical and/or industry specialist.
Location: Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Build successful client relationships in your assigned territory alongside Account Executives.
  • •Act as a big data analytics expert and trusted advisor to drive architecture, design, and implementation decisions.
  • •Scale best practices by authoring reference architectures, how-tos, and demo applications.
  • •Support regional community building through workshops, seminars, and meet-ups.
  • •Develop into a technical and/or industry specialist over time.

Key Requirements

  • •Engage in technical sales by challenging customer questions, guiding clear outcomes, and communicating technical and value propositions.
  • •Develop customer relationships and collaborate internally with Account Executives and teams.
  • •Prior coding experience in a core programming language such as Python, Java, or Scala, with willingness to learn a base level of Spark.
  • •Be proficient in big data analytics with hands-on experience delivering complex proofs-of-concept on public cloud platforms.
  • •Have experience discovering use cases, scoping engagements, and delivering complex solution architecture designs to multiple audiences across varying technical depths.
Experience:Big data analyticsPublic cloudData intelligenceData and AI
Skills:Customer-focusedRelationship buildingCommunicationTechnical consultingProblem-solving
Languages:English
Tech Stack:PythonJavaScalaSparkBig DataPublic cloudApache SparkDelta LakeMLflowLakehouse

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