Solutions Architect – Public Sector, SLED

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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

• 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 references architectures, how-tos, and demo applications for customers • Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars • Travel to customers in your region

🎯 Requirements

• 6+ years in a customer-facing pre-sales, technical architecture, or consulting role • Experience designing and architecting distributed data systems • Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R • Experience supporting Public Sector clients • Have built solutions with public cloud providers such as AWS, Azure, or GCP • Data Engineering technologies (Ex: Spark, Hadoop, Kafka) • Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) • US Citizen

🏖️ Benefits

• Health insurance • Stock options • 401(k) matching • Paid time off • Remote work options

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