Solutions Architect - CPG and Manufacturing

Databricks
Zurich
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Customer-facing leadership","Technical leadership","Problem-solving","Stakeholder management"]

Own end-to-end technical strategy for customer accounts, from discovery through production deployment, and drive competitive wins with AI and data solutions. Lead complex architecture discussions spanning data engineering, AI/ML, agentic systems, and real-time analytics. Serve as a trusted partner to customer architects and engineering leads, develop a domain specialization, and orchestrate cross-functional teams to deliver end-to-end outcomes.

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FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect - CPG and Manufacturing

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own end-to-end technical strategy for customer accounts, from discovery through production deployment, and drive competitive wins with AI and data solutions. Lead complex architecture discussions spanning data engineering, AI/ML, agentic systems, and real-time analytics. Serve as a trusted partner to customer architects and engineering leads, develop a domain specialization, and orchestrate cross-functional teams to deliver end-to-end outcomes.
Location: Zurich
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end technical strategy for customer accounts from discovery through production deployment.
  • •Lead complex architecture discussions for production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics.
  • •Partner with customer architects and engineering leads to shape customers’ data and AI journey on Databricks.
  • •Develop an emerging technical specialization (archetype) and become a go-to resource within the team.
  • •Orchestrate cross-functional resources to deliver end-to-end AI and data solutions for complex customer needs.

Key Requirements

  • •6+ years in solutions architecture, data engineering, data science/AI, or technical pre-sales with hands-on solution building and customer-facing technical leadership.
  • •Deep expertise in modern data and AI architectures, including lakehouse design, scalable pipelines, real-time/streaming, and cloud-native platforms.
  • •Strong understanding of AI/ML concepts, agentic architectures, and ontology design, including knowledge graphs and semantic data models.
  • •Ability to become proficient in the Databricks Platform with a developing specialization (e.g., AI/ML, agentic systems, real-time/streaming, data governance, migrations).
  • •Production deployment experience on public cloud (AWS, Azure, or GCP) with security and governance considerations.
Experience:6+ years
Education:
Skills:CommunicationCustomer-facing leadershipTechnical leadershipProblem-solvingStakeholder management
Certifications:Databricks Data EngineerDatabricks ML AssociateDatabricks ML ProfessionalDatabricks Platform
Languages:English
Tech Stack:Databricks PlatformGenieLakebaseAgent BricksLakeflowLakehouseUnity CatalogAWSAzureGCPLakehouse designReal-time/streamingData engineeringAI/MLAgentic architecturesKnowledge graphsSemantic data modelsWhiteboarding

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