← All roles

Solutions Architect - CPG and Manufacturing

Databricks
Apply on company site
Zürich, SwitzerlandFull-timePosted 1mo ago

About the role

Solutions Architect at Databricks focusing on CP​G and Manufacturing, owning end-to-end technical strategy, leading architecture discussions, and driving platform adoption to position Databricks as the foundation of customers' data and AI strategy.

Responsibilities

  • Own the end-to-end technical strategy for your accounts — from discovery through production deployment — driving competitive wins by building differentiated AI and data solutions that accelerate consumption growth
  • Lead complex architecture discussions — designing production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics
  • Serve as a trusted technical partner to customer architects, engineering leads, and Directors — helping shape their data and AI journey on Databricks
  • Develop an emerging technical specialization (archetype) — ideally in AI/ML, agentic architectures, or a related domain — becoming a go-to resource within your team
  • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver end-to-end AI and data solutions for complex customer needs
  • Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps

Qualifications

  • 6+ years in solutions architecture, data engineering, data science/AI, or technical pre-sales — with a strong track record of hands-on solution building and customer-facing technical leadership
  • Deep expertise in modern data and AI architectures — lakehouse design, scalable pipelines, real-time/streaming, and cloud-native platforms — with the ability to lead architecture discussions with senior stakeholders through whiteboarding, design reviews, and trade-off analysis that connect data foundations to AI/ML outcomes
  • Strong understanding of AI/ML concepts, agentic architectures, and ontology design — including experience with compound AI systems, autonomous agent frameworks, knowledge graphs, and semantic data models that enable intelligent, context-aware applications
  • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., AI/ML, agentic systems, real-time/streaming, data governance, migrations)
  • Experience with production deployments on public cloud (AWS, Azure, or GCP), including security and governance considerations
  • Track record of driving platform adoption and consumption growth — particularly across AI/ML and data analytics workloads
  • Excellent communication skills — able to translate complex AI and data architectures into business value for technical and executive audiences
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Skills

Required:Solutions architectureData engineeringAI/ML concepts and agentic architecturesCloud deployments (AWS/Azure/GCP)Communication skills

Benefits

  • Benefits details available via regional link provided in the job posting.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

AIanalyticsbig datadatadata warehousingenterprise-infrastructuregovernanceliquid-ai-recruiting-target
Company profileWebsite

More open roles at Databricks