# Solutions Architect - CPG and Manufacturing at Databricks

> Own technical strategy and architecture discussions for CPG and manufacturing accounts, driving Databricks adoption from discovery to production.

- Company: Databricks (databricks.com)
- Location: Zürich, Switzerland
- Places: Zürich, Switzerland
- Posted: 2026-09-03
- Team: Solutions Architecture
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8755662002
- Page: https://ye.saranatour.dev/jobs/solutions-architect-cpg-and-manufacturing-databricks-kn70083pc83gk8x15w47rtn0n98hc194

## The posting

Solutions Architect - CPG and Manufacturing
Databricks · Zürich, Switzerland

FEQ427R473

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 with a hands-on builder mindset to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are becoming a go-to resource within your team for depth in a specific domain.

### The Impact You Will Have:

- 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 We Look For:

- 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)

### Nice to Have:

- Databricks certifications (Data Engineer, ML Associate/Professional, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in an AI-first company, data platform vendor, or cloud provider
- Industry domain expertise, pref