Solutions Architect - Strategic AI Natives

Навыки

• AWS
• Azure
• Big Data
• Data Lake
• Отладка и поиск ошибок
• Google Cloud
• Hadoop

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 .
• While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

Задачи

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows
• As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community
• As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world
• Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation
• and develop technical champions along the way

Требования

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following
• Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
• Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow )
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Будет плюсом

• Databricks Certification
• NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply
• We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths

Условия

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

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