Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)
Leads technical sales for Databricks platform in public sector, partnering with sales to architect big data solutions, build POCs, and demo integrations with Spark, Delta Lake, and MLflow. Requires 5+ years pre-sales experience, public cloud expertise, and programming in Python/SQL/etc.
About the job
Responsibilities
- Partner with the sales team to help customers understand how Databricks can 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 reference 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
Requirements
- 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
- Have 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)
Nice-to-Haves
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Secret security clearance or willingness to obtain one
Skills
Spark, Delta Lake, MLflow, Python, Scala, Java, SQL, R, AWS, Azure, GCP, Hadoop, Kafka, pandas, scikit-learn
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