Solutions Architect who provides technical leadership and pre-sales consulting to help customers adopt Databricks' Data and AI platform. Requires 4+ years customer-facing experience, distributed data systems knowledge, programming skills, and cloud expertise.
Salary not listed
Remote4+ YOESolutions Architecture
About the role
Impact You Will Have
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%
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)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations
Nice-to-Haves
[Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
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