Solutions Architect
Databricks
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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
- 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
- Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
Requirements
- 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)
- Experience in at least one of the following: Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
- Experience in at least one of the following: 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.)
- Databricks Certification
Skills
- Apache Spark
- MLflow
- Delta Lake
- Python
- Scala
- Java
- SQL
- R
- AWS
- Azure
- GCP
- Hadoop
- Kafka
- pandas
- scikit-learn
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