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Описание вакансии
Текст:
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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