Solutions Architect

Databricks
Stockholm
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer-facing","Communication","Problem-solving","Presentation","Adaptability"]

Solutions Architect – Data & AI (Presales) at Databricks combines customer engagement with hands-on technical work, turning business needs into practical data and AI solutions. You’ll lead workshops, build PoCs, and translate requirements into scalable data architectures while partnering with Account Executives to drive technical sales and outcomes.

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FursaFursa
Databricks
Databricks
3 months ago

Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Solutions Architect – Data & AI (Presales) at Databricks combines customer engagement with hands-on technical work, turning business needs into practical data and AI solutions. You’ll lead workshops, build PoCs, and translate requirements into scalable data architectures while partnering with Account Executives to drive technical sales and outcomes.
Location: Stockholm
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Partner with Account Executives to drive technical sales cycles and customer outcomes
  • •Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders
  • •Build and deliver proof-of-concepts, demos, and solution prototypes using real data
  • •Translate business requirements into practical, scalable data and AI solutions
  • •Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end

Key Requirements

  • •Experience working with customers in a presales, consulting, or advisory capacity, and ability to communicate complex topics to both technical and non-technical audiences
  • •Hands-on technical foundation: Experience with Python (or similar) and familiarity with distributed data processing and working with large-scale datasets
  • •Understanding of data pipelines and modern data architectures, plus ability to build PoCs, explore datasets, and troubleshoot
  • •Familiarity with analytics, data science, or machine learning workflows and understanding of how data platforms support AI use cases
  • •Ability to design solutions that consider scalability, performance, reliability, and data volumes, and to adapt designs based on constraints
Experience:Data analyticsAiPresales
Skills:Customer-facingCommunicationProblem-solvingPresentationAdaptability
Languages:English
Tech Stack:PythonApache SparkDelta LakeMLflowCloud platforms

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