# Solutions Architect - CPG and Manufacturing

**Company**: Databricks
**Location**: Zürich, Switzerland
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8755662002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dfbff70e-013

## Description

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.

## 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, preferably in CPG and Manufacturing (Financial Services, Healthcare, Retail, Media, etc. also valued)

## Skills

### Required
- solutions architecture
- data engineering
- data science/AI
- technical pre-sales
- lakehouse design
- scalable pipelines
- real-time/streaming
- cloud-native platforms
- AI/ML concepts
- agentic architectures
- ontology design
- Databricks Platform

### Nice to have
- Databricks certifications
- competitive platforms (Snowflake, AWS native services, Azure Synapse)
- AI-first company
- data platform vendor
- cloud provider
- CPG and Manufacturing

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8755662002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)