Роль четко определена с акцентом на экспертизу OLTP и интеграцию в облаке, но отсутствие информации о зарплате является недостатком.
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Сильная компанияЧеткие обязанностиГибридный формат работыЗарплата не указана
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Solutions Architect (Lakebase): Driving product adoption and technical strategy for Databricks' transactional database solutions with an accent on OLTP expertise, cloud infrastructure, and ecosystem integration. Focus on serving as a trusted advisor to technical executives, influencing product roadmaps, and solving complex architectural challenges in mission-critical environments.
Location: Must be based in Berlin or Munich, Germany
Company
Databricks is the data and AI company, providing a unified Data Intelligence Platform for data, analytics, and AI.
What you will do
Collaborate with account teams to design and execute high-impact engagement strategies within your territory.
Serve as a technical expert and champion to build credibility with stakeholders and drive product vision.
Enable clients through workshops and the development of technical collateral.
Influence product roadmaps by translating field-derived insights into strategic recommendations.
Act as a tier-3 escalation point for complex technical challenges in mission-critical environments.
Partner with Global System Integrators and consulting organizations to drive customer outcomes.
Requirements
10+ years of transactional database (OLTP) expertise across engineering, development, and pre-sales.
6+ years in a customer-facing, pre-sales, or consulting role influencing technical executives.
Proficiency in programming, debugging, and problem-solving using SQL and Python.
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
Broad experience across data engineering, data warehousing, AI, ML, and streaming.
Undergraduate degree in a technical field such as Computer Science or Engineering.
Culture & Benefits
Comprehensive benefits and perks tailored to regional needs.
Commitment to a diverse and inclusive culture with equal employment opportunity standards.
Opportunity to work with industry-leading data and AI technologies.
Global collaborative environment with a focus on innovation and thought leadership.
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