Remote Solutions Architect

Summary

Join Databricks as a Solutions Architect in the Field Engineering org to partner with customers to design scalable data architectures using Databricks technology and services. As a trusted advisor, you will engage with technical leads to establish valuable customer engagements and report to the Field Engineering Manager.

Requirements

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex: Spark, Hadoop, Kafka), Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO), Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures
• Fluent in SQL and database technology
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R

Responsibilities

• Partner with our customers to design scalable data architectures using Databricks technology and services
• Drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle
• Engage with our customers' technical leads, including architects, engineers, and operations teams to establish yourself as a trusted advisor to achieve tangible outcomes
• Work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements
• Report to the Field Engineering Manager

Benefits

Comprehensive benefits and perks that meet the needs of all employees