
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.
🔥 34 minutes ago
⛰️ Colorado – Remote
💵 $180k - $247.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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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.
• Provide technical leadership for customers evaluating and adopting Databricks Data and AI solutions • Consult on big data architecture and implement proofs of concept for strategic customer, data science, and machine learning projects • Validate integrations with cloud services and third-party applications • Build and present reference architectures, technical guides, and demo applications • Provide escalated support for critical customer operational issues • Evangelize Databricks open-source projects across developer communities through meetups, conferences, and webinars • Support fellow Solutions Architects and drive cross-functional relationships • Travel to customers up to 30%
• 4+ years in a customer-facing pre-sales, technical architecture, or consulting role • Experience designing and architecting distributed data systems • Programming and debugging proficiency in at least one of Python, Scala, Java, SQL, or R • Experience building solutions with public cloud providers such as AWS, Azure, or GCP • Experience with data engineering technologies, data warehousing, or data science and machine learning technologies • Comfort communicating through presentations, whiteboarding, architecture discussions, and platform demonstrations • Degree in a quantitative discipline is preferred, not required • Databricks Certification is nice to have
• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks
Apply Now🔥 51 minutes ago
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