Databricks предлагает чётко очерченную senior-роль в сильной продуктовой компании в сфере данных и ИИ, с современными технологиями и заметным влиянием на клиентов; без информации о зарплате сложнее оценить общий пакет.
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Зарплата не указанаПонятные задачиСовременный стекСильный продукт
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Solutions Architect (Data & AI): Leading technical strategy and designing production-grade data, machine learning, and real-time analytics solutions for enterprise customers with an accent on distributed systems, cloud platforms, and Databricks adoption. Focus on architecting scalable pipelines and streaming systems, leading senior stakeholder design discussions, and building custom solutions that demonstrate platform differentiation.
Location: Zürich, Switzerland
Company
Databricks provides a unified Data and AI Platform for building and scaling data and AI applications, analytics, and agents.
What you will do
Own end-to-end technical strategy for customer accounts, from discovery through production deployment and consumption growth.
Lead architecture discussions and design scalable solutions across data engineering, machine learning, AI, and real-time analytics.
Advise customer architects, engineering leads, and directors on technical strategy and trade-offs.
Drive competitive technical wins through custom-built solutions demonstrating Databricks differentiation.
Develop a technical specialization and coordinate DSAs, SSAs, and partners to deliver complex solutions.
Provide structured customer and competitive feedback to influence product direction.
Requirements
6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
Strong Python and SQL coding skills, including live coding, debugging, and solution building.
Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
Experience with Databricks or the ability to become proficient quickly, with a developing specialization in an area such as streaming, ML/AI, data governance, or migrations.
Experience leading architecture discussions with senior technical stakeholders and deploying production systems on AWS, Azure, or GCP.
Bachelor’s or Master’s degree in Computer Science, Engineering, or 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 a data/AI company or cloud provider.
Industry expertise in financial services, healthcare, retail, media, or another relevant domain.
Culture & Benefits
Comprehensive benefits and perks, with details varying by region.
Inclusive workplace committed to equal employment opportunity and diversity.
Access to a global organization with more than 30 offices and customers worldwide.
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