About this role
Job title: Sr. Solutions Engineer - Public Sector (Defense Industrial Base)
About the Role
Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. This is a customer-facing role where you will work with customers, teammates, the product team, and post-sales teams to identify use cases, develop architectures and solutions using our platform, and guide customers through the implementation to accomplish value. You will report to the Sr. Field Engineering Manager for the team.
What You'll Do
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt 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 references architectures, how-tos, and demo applications for customers
- Become an expert in, and promote Databricks inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
- Travel to customers in your region
- You will report to the Sr. Field Engineering Manager for the team
What We're Looking For
- 5+ 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
- Experience supporting Public Sector clients
- Built solutions with public cloud providers such as AWS, Azure, or GCP
- Expertise in at least one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka); Data Warehousing (Ex: SQL, OLTP/OLAP/DSS); Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) [Desired]
- Secret security clearance or willingness to obtain one
Nice to Have
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) [Desired]
Compensation & Benefits
- Local Pay Range $152,300—$209,450 USD
- The total compensation package may include eligibility for annual performance bonus, equity, and the benefits listed above.
- For more information regarding which range your location is in visit our page here. You are trained on data up to October 2023.