Solutions Architect - Public Sector (SLED)

Stack

Responsibilities

• ▹Partner with the sales team to help customers understand how Databricks can solve their business problems
• ▹Provide technical leadership for customers evaluating and adopting Databricks
• ▹Consult on big data architecture, implement proof of concepts for strategic customer, data science, and machine learning projects, and validate integrations with cloud services and third-party applications
• ▹Build and present reference architectures, how-tos, and demo applications for customers
• ▹Become an expert in Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas) and promote them at meetups, conferences, and webinars
• ▹Travel to customers in the assigned region

Requirements

• ▹6+ 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
• ▹Solutions built with public cloud providers such as AWS, Azure, or GCP
• ▹Knowledge of data engineering technologies (e.g. Spark, Hadoop, Kafka)
• ▹Knowledge of data warehousing (e.g. SQL, OLTP/OLAP/DSS)
• ▹US citizenship

Nice to have

• ▹Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

What we offer

• ▹Eligibility for annual performance bonus and equity as part of the total compensation package

About the company

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. The company was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.