
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.
🔥 1 hour ago
🏄 California, Washington – Remote
💵 $219.1k - $301.3k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 2%
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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.
• Work with up to 9 clients as the main technical voice for Databricks • Lead customers through a transformational journey evaluating and adopting Databricks • Implement the technical strategy in each account • Build a movement of technical champions within customer accounts • Align technical strategies around Databricks solutions • Provide structured mentorship for other team members • Work with Account Executives and hands-on resources building proofs of concept and demonstrating Databricks products • Apply ML and AI knowledge to relevant use cases in Retail and CPG accounts
• 6+ years of experience working with very large (> $1m ARR) Retail and CPG-related accounts • 4+ years working in a pre-sales capacity or supporting sales activity • Technical expertise in big data, data science, and cloud • Ability in data-driven business transformation and driving change with data • 3+ years of design and implementation experience with big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions • Ability to maintain and extend production data systems to evolve with complex customer needs • Production programming experience in Python, R, Scala, or Java • Databricks Certification nice to have • If access to export-controlled technology or source code is required, employment may depend on U.S. government licensing discretion
• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (region-specific details provided by Databricks)
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