← Все вакансии/Senior/databricks
SeniorOfficeMaryland; McLean, Virginia; Washington, D.C.

Solutions Engineer

D
databricks
Зарплата
$18,300–$25,100
Уровень
Senior
Формат
Office
О роли

Описание вакансии

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

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 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
Requirements
  • U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers.
  • 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 in Python and SQL.
  • 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)
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Conditions
  • Pay range: $219,100 — $301,300 USD
  • Total compensation package may include eligibility for annual performance bonus, equity, and benefits.
Стек и навыки

С чем работаем