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Solutions Architect - CPG and ManufacturingDatabricks · Zürich, Switzerland
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Databricks

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Solutions Architect - CPG and Manufacturing

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🗓️ Posted 2026-09-03 Zürich, Switzerland Hybrid ICT
💰 Salary Not shared 📊 Market ₹10,000–₹15,000/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

Responsibilities

  • ● 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

Requirements

  • ● 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)
  • ● 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)