Sr. Solutions Engineer - Public Sector
152k – 209kMarylandVirginiaWashington, DCRemote5+ YOE
Summary
Lead pre-sales technical engagements for Databricks' data platform with Public Sector (Federal Civilian) customers. Design architectures, run POCs, and drive adoption of Spark, Delta Lake, and MLflow on public clouds.
About the role
Responsibilities
- 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 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)
- Secret security clearance or willingness to obtain one is nice to have
Nice-to-Haves
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Skills
PythonScalaJavaSQLRApache SparkHadoopKafkaAWSAzureGoogle Cloudpandasscikit-learnDelta LakeMLflow
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