
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.
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
September 7
🏖️ New Jersey – Remote
🗽 New York – Remote
+4 more states
💵 $113k - $158.2k / year
⏰ Full Time
🟠 Senior
🔴 Lead
💻 Solutions Engineer
🦅 H1B Visa Sponsor

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.
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
• Partner with the sales team to help customers understand how Databricks can help solve their business problems • Provide technical leadership for customers to evaluate and adopt Databricks • Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications • Build and present reference architectures, how-tos, and demonstrate applications for customers • Become an expert in, and promote open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars • Travel to meet with customers in your territory
• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges • Experience designing and architecting distributed data systems • Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java,, or R • Experience working with Financial Services customers is a positive differentiator • Experience building solutions with public cloud providers such as AWS, Azure, or GCP • Experience with data Engineering technologies (Ex: Spark, Hadoop, Kafka) • Experience with data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS) • Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)
• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks
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ITSM