Summary
Databricks is the data and AI company that helps organizations solve complex data problems. As a Solutions Architect, you will lead the adoption of the Databricks Unified Analytics Platform, working closely with customers to develop solutions and guide them through implementations.
Responsibilities
- 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%
Skills
- 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)*
- Degree in a quantitative discipline *(e.g., Computer Science, Applied Mathematics, Operations Research, etc.)*
- Nice to have: Databricks Certification
Qualifications
Must Haves
- 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)*
Nice to Haves
- Degree in a quantitative discipline *(e.g., Computer Science, Applied Mathematics, Operations Research, etc.)*
- Nice to have: Databricks Certification