Solutions Architect

Навыки

• Data Lake
• Machine Learning
• Ответственность за результат
• Python
• SOLID и паттерны

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Задачи

• Partner with Account Executives to drive technical sales cycles and customer outcomes
• Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders
• Build and deliver proof-of-concepts, demos, and solution prototypes using real data
• Translate business requirements into practical, scalable data and AI solutions
• Work through technical challenges with customers, iterating and resolving issues as they arise
• Contribute reusable assets, patterns, and best practices that accelerate adoption across customers
• REQ# FEQ427R66
• Solutions Architect – Data & AI (Presales)
• You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice
• This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions

Требования

• Customer-facing mindset
• Experience working with customers in a presales, consulting, or advisory capacity
• Ability to communicate complex topics to both technical and non-technical audiences
• Comfortable leading discussions that connect business goals to technical decisions
• Hands-on technical foundation
• Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets
• Understanding of data pipelines and modern data architectures
• Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting)
• Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected
• Data & AI understanding
• Familiarity with analytics, data science, or machine learning workflows
• Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference)
• Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems
• Architecture & platform understanding
• Familiarity with cloud platforms and data technologies
• Ability to design solutions that consider scalability, performance, reliability, and data volumes
• Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints
• What makes you successful in this role
• You are comfortable switching between business dialogue and technical execution
• You don’t just describe solutions — you can build, validate, and iterate on them in practice
• You take ownership of technical challenges and push problems forward, even when things are not working as expected
• You apply structured thinking in discovery and can connect requirements to scalable technical solutions
• You understand that AI solutions depend on solid data foundations
• You are curious and continuously deepen your technical expertise
• At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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