Влиятельная роль в компании-лидере в сфере AI и Data. Стек максимально современный, бренд компании очень сильный, а задачи четко определены, что делает это предложение одним из лучших на рынке.
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Зарплата не указанаПередовой стекТрендовый доменБуст для карьерыПонятный scope
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Solutions Architect - CPG and Manufacturing (AI/Data): Owning technical strategies and designing production-grade data and AI solutions for CPG and manufacturing customers with an accent on lakehouse architectures, scalable pipelines, real-time analytics, and agentic systems. Focus on leading complex architecture discussions, building cloud deployments, and connecting data foundations to AI/ML outcomes.
Location: Zürich, Switzerland
Company
Databricks provides a unified Data + AI Platform for building and scaling data, AI, analytics, and agent applications.
What you will do
Own end-to-end technical strategies for customer accounts, from discovery through production deployment.
Design production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics.
Lead architecture discussions with customer architects, engineering leads, and senior stakeholders.
Develop a technical specialization in AI/ML, agentic architectures, real-time and streaming systems, data governance, or migrations.
Coordinate DSAs, SSAs, and partners to deliver complex data and AI solutions.
Provide structured feedback to product teams on customer requirements and competitive gaps.
Requirements
6+ years of experience in solutions architecture, data engineering, data science/AI, or technical pre-sales.
Deep expertise in lakehouse design, scalable data pipelines, real-time or streaming systems, and cloud-native platforms.
Understanding of AI/ML, agentic architectures, ontology design, compound AI systems, autonomous agent frameworks, knowledge graphs, and semantic data models.
Experience with the Databricks Platform or the ability to become proficient rapidly.
Production deployment experience on AWS, Azure, or GCP, including security and governance considerations.
Bachelor’s or Master’s degree in Computer Science, Engineering, a quantitative discipline, or equivalent experience.
Nice to have
Databricks certifications in data engineering, machine learning, or the platform.
Experience with Snowflake, AWS native services, or Azure Synapse.
Background in an AI-first company, data platform vendor, or cloud provider.
Industry expertise in CPG and Manufacturing, Financial Services, Healthcare, Retail, or Media.
Culture & Benefits
Comprehensive benefits and perks tailored to regional employee needs.
Inclusive workplace with equal employment opportunity standards.
Databricks operates globally with more than 30 offices.
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