Solutions Architect - CPG and Manufacturing
Databricks · Zürich, Switzerland · Field Engineering - Other · listed September 3, 2026
The shape of it
Seniority
Principal
Where
Not stated
Requirements listed
8
Length
714 words
In the posting’s own words
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.
What it asks for · 8
- 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)
Also a plus
- 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)
What the job covers
- 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
Degree language
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Tools and skills named
Models & research
- Machine learning7×
Data
- Databricks4×
- Data warehouse
- Snowflake
Cloud & infra
- AWS2×
- Azure2×
- GCP
Go to market
- Solutions architecture2×
Security & compliance
- Security
Ways of working
- Cross-functional
Words the posting leans on
- data15×
- technical11×
- architecture8×
- platform7×
- ai/ml6×
- customer6×
- solutions6×
- engineering5×
- experience4×
- lead4×
- ai/ml agentic3×
- architecture discussions3×
- competitive3×
- complex3×
- design3×
- domain3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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