Solutions Architect - CPG and ManufacturingActive

The opportunity

As a Solutions Architect, you will contribute to the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted technical partner to customer architects and engineering leads. You combine deep technical expertise…

What you'll do

  • 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

What they're looking for

  • + 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)