# Solutions Architect - CPG and Manufacturing at Databricks > Switzerland · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8755662002 (read 2026-11-04). ## Facts (observed) - Company: [Databricks](https://alderhq.app/companies/databricks) - Location text: Zürich, Switzerland; Zürich, Switzerland - Where it can be done from (inferred): Switzerland (evidence: "Location: Zürich, Switzerland; Zürich, Switzerland") - Posted: 2026-09-03 (62 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://databricks.com/company/careers/open-positions/job?gh_jid=8755662002 - Skills listed (inferred): AWS, GCP, Azure, Snowflake ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Zurich, n 4): p25 $85k, median $98k, p75 $124k - H-1B filings at this company for similar roles, FY26: 356, median offered wage $157k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Recognised sponsor (NL): registered as "Databricks" (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) - Licensed UK sponsor: registered as "Databricks UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) 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, preferably in CPG and Manufacturing (Financial Services, Healthcare, Retail, Media, etc. also valued) ### About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8755662002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.