Databricks предлагает чётко описанную senior-роль в востребованной сфере Data и AI с заметным влиянием на клиентов и сильной технической составляющей; без зарплатных данных сложнее оценить условия оплаты.
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Оплата не раскрытаПонятная зона ответственностиВостребованная специализацияСильная продуктовая компания
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Sr. Delivery Solutions Architect (Data & AI): Designing and executing secure, governed, and scalable data and AI architectures for complex customer environments with an accent on distributed data systems, cloud platforms, and strategic technical execution. Focus on orchestrating cross-functional teams, leading complex technical escalations, establishing platform standards, and building reusable frameworks that drive adoption and measurable business outcomes.
Location: Zürich, Switzerland
Company
Databricks provides the Data + AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.
What you will do
Define technical execution strategies for high-value customer accounts across use cases, business units, geographies, and product areas.
Advise customer architects, technical leaders, and senior executive stakeholders on complex data and AI solutions.
Design secure, governed, scalable, and production-ready architectures while balancing performance, cost, reliability, and long-term platform strategy.
Orchestrate Databricks, customer, and implementation partner teams to accelerate adoption and measurable business outcomes.
Lead complex technical escalations and establish standards for security, governance, developer experience, and operational excellence.
Build reusable technical frameworks and assets, mentor DSAs, and contribute to technical enablement and thought leadership.
Requirements
8+ years of experience in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role.
Experience leading technical strategy and architecture in high-value or highly complex customer environments.
Deep expertise in one or more Data and AI domains, distributed data systems, and cloud architectures.
Strong coding proficiency in Python, SQL, Scala, or similar languages.
Experience designing secure, governed, scalable architectures across cloud and enterprise environments.
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Nice to have
Databricks experience or certification.
Recognized expertise in a Data and AI specialization or competitive technology.
Experience influencing product direction through structured customer feedback.
External technical thought leadership through blogs, conferences, summits, seminars, or industry events.
Experience mentoring technical talent or leading enablement across teams or regions.
Culture & Benefits
Comprehensive benefits and perks tailored to the employee’s region.
Commitment to a diverse and inclusive workplace.
Inclusive hiring practices aligned with equal employment opportunity standards.
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