Solutions Architect

Details

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from 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, technical guides, and demo applications for customers
• Provide escalated support for critical customer operational issues
• Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
• Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
• 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
• Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
• Have built solutions with public cloud providers, such as AWS, Azure, or GCP
• Experience in at least one of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka) Data Warehousing (e.g., SQL, OLTP/OLAP/DSS) Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
• Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
• Nice to have: Databricks Certification
• Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
• Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)