Delivery Solutions Architect

Databricks
Munich, Bavaria
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Stakeholder management","Cross-functional leadership","Technical advisory","Problem-solving","Mentoring"]

Partner with Sales, Solutions Architecture, and Field Engineering to accelerate customer adoption of the Databricks Data Intelligence Platform. Act as a trusted technical advisor for designing, implementing, scaling, and optimizing secure, governed, and production-ready data and AI solutions. Define technical execution across complex workstreams, build prototypes and reusable assets, and drive adoption by unblocking delivery and connecting technical outcomes to measurable business value.

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FursaFursa
Databricks
Databricks
21 hours ago

Delivery Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Partner with Sales, Solutions Architecture, and Field Engineering to accelerate customer adoption of the Databricks Data Intelligence Platform. Act as a trusted technical advisor for designing, implementing, scaling, and optimizing secure, governed, and production-ready data and AI solutions. Define technical execution across complex workstreams, build prototypes and reusable assets, and drive adoption by unblocking delivery and connecting technical outcomes to measurable business value.
Location: Munich, Bavaria
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts.
  • •Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding decisions.
  • •Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs.
  • •Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes.
  • •Partner across Databricks and customer teams to align resources, manage risks, accelerate delivery, and drive adoption.
Travel: Medium travel

Key Requirements

  • •5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role.
  • •Experience influencing technical strategy and architecture across complex customer use cases or multiple workstreams.
  • •Strong coding proficiency in Python, SQL, Scala (or similar), with the ability to build, debug, and validate solutions.
  • •Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures.
  • •Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Experience:5+ years
Education:Bachelor's
Skills:Stakeholder managementCross-functional leadershipTechnical advisoryProblem-solvingMentoring
Languages:English
Tech Stack:PythonSQLScalaAWSAzureGCPDatabricksAI/MLData engineeringData warehousingData analyticsStreaming

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