Databricks
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
Senior Solutions Architect – AI Natives Business
🕒 May 19
🏄 California, Oregon, +1 more states – Remote
💵 $219.1k - $301.3k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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Databricks
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
📋 Description
• Shape the future of the big data landscape by collaborating with customers, product teams, and the broader customer-facing team • Develop architectures and solutions using the Databricks platform and APIs • Guide customers through competitive landscape, best practices, and implementation • Provide technical leadership to help customers understand how Databricks can solve their business problems • Consult on Big Data architectures and validate integrations with cloud services, home grown tools, and other 3rd party applications • Collaborate with fellow Solutions Architects to support each other and users • Become an expert in and promote Databricks inspired open-source projects (Spark, Delta Lake, and MLflow)
🎯 Requirements
• 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 Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or 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) • Nice to have: Databricks Certification
🏖️ Benefits
• Competitve salary • Eligibility for annual performance bonus • Equity options • Comprehensive benefits and perks
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