Sr. Solutions Engineer

Databricks
Munich
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer-centric mindset","Relationship building","Technical storytelling","Problem identification","Trusted advisor mindset"]

Build customer-focused technical solutions for Databricks’ Data Intelligence Platform by partnering with Account Executives and Senior Solutions Architects across your territory. Conduct hands-on evaluations using Spark and programming, translating customer pain points into compelling technical propositions and business value. Author reference architectures and how-tos, support demos, and strengthen the technical community through workshops and meet-ups. Grow toward becoming an independently operating Solutions Architect.

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FursaFursa
Databricks
Databricks
3 days ago

Sr. Solutions Engineer

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Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Build customer-focused technical solutions for Databricks’ Data Intelligence Platform by partnering with Account Executives and Senior Solutions Architects across your territory. Conduct hands-on evaluations using Spark and programming, translating customer pain points into compelling technical propositions and business value. Author reference architectures and how-tos, support demos, and strengthen the technical community through workshops and meet-ups. Grow toward becoming an independently operating Solutions Architect.
Location: Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Form successful relationships with clients in your assigned territory in collaboration with an Account Executive and a Senior Solutions Architect.
  • •Drive client excitement through hands-on evaluation and Spark programming, including integration with cloud ecosystem and third-party applications.
  • •Advise on big data analytics architecture and design, becoming a Big Data Analytics advisor over time.
  • •Support customers by authoring reference architectures, how-tos, and demo applications.
  • •Contribute to the technical community through engagement at workshops, seminars, and meet-ups.

Key Requirements

  • •Ability to create a narrative with clients, answer customer questions, align agendas to customer interests, and deliver tangible outcomes.
  • •Code in a core programming language such as Python.
  • •Knowledgeable in a core Big Data Analytics domain, including exposure to advanced proofs-of-concept and understanding of a major public cloud platform.
  • •Experience diving deeper into solution architecture and Data Engineering.
  • •Develop trusted-advisor skills by independently delivering technical propositions and explaining business value.
Experience:Big Data AnalyticsData EngineeringProof-of-conceptsPublic cloud
Skills:Customer-centric mindsetRelationship buildingTechnical storytellingProblem identificationTrusted advisor mindset
Languages:English
Tech Stack:PythonSpark

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