Чётко описанная senior-роль в ведущей продуктовой компании в сфере данных и ИИ даёт сильный опыт в архитектуре, облаках и технической стратегии для клиентов; основные ограничения - гибридный формат в районе Милана и свободный итальянский.
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Привязка к МилануАктуальные технологииСфера ИИПонятная зона ответственности
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Solutions Architect (Data & AI) Digital Natives & Scaleups Italy: Leading technical strategy for digital-native and scaleup customers in Italy by designing production-grade data, machine learning, AI, and real-time analytics solutions with an accent on distributed data systems, cloud-native platforms, and technical pre-sales. Focus on architecture discussions, custom solution building, platform adoption, live coding, and developing a specialized technical archetype.
Location: Milan region, Italy, within a commutable distance for a hybrid schedule
Salary: €92,300–€126,950 per year
Company
Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, AI applications, and governance.
What you will do
Own the end-to-end technical strategy for Databricks core product customers, primarily in the Digital Native segment, from discovery through production deployment and consumption growth.
Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
Advise customer architects, engineering leads, and Directors as a trusted technical partner.
Demonstrate Databricks differentiation through custom-built solutions and drive competitive technical wins, platform adoption, and account growth.
Develop a technical specialization and coordinate DSAs, SSAs, and partners to deliver comprehensive solutions.
Provide structured customer 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 coding proficiency in Python and SQL, including live coding, debugging, and solution building.
Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
Proficiency with the Databricks Platform or the ability to become proficient rapidly, with a developing specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
Experience leading architecture discussions with senior technical stakeholders through whiteboarding, design reviews, and trade-off analysis.
Production deployment experience on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
A track record of driving platform adoption and consumption growth within customer accounts.
Excellent communication skills, including the ability to translate complex architectures into business value for technical and executive audiences.
Fluency in both Italian and English.
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, ML, or Platform.
Experience with Snowflake, AWS native services, or Azure Synapse.
Background in a data/AI company or cloud provider.
Industry expertise in areas such as Financial Services, Healthcare, Retail, or Media.
Culture & Benefits
Comprehensive regional benefits and employee perks.
Inclusive culture with equal employment opportunity standards.
Additional compensation may include an annual performance bonus, equity, and regional benefits.
Hiring process
Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Build, Demo, Pitch! Presentation, and Reference Check.
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