Databricks13.05.2026

Solutions Architect - Public Sector (SLED)

Central - United States

Обязанности

  • 01Lead the growth of the Databricks Unified Analytics Platform
  • 02Exercise and develop expertise in cloud platforms, data engineering, data analytics, and data science and machine learning
  • 03Work with customers, teammates, the product team, and post-sales teams to identify use cases for Databricks
  • 04Develop architectures and solutions using the Databricks platform
  • 05Guide customers through implementation to accomplish value
  • 06Build relationships with customers, find and build champions, and become a trusted advisor
  • 07Partner with the sales team to help customers understand how Databricks can solve their business problems
  • 08Provide technical leadership for customers to evaluate and adopt Databricks
  • 09Consult 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
  • 10Build and present reference architectures, how-tos, and demo applications for customers
  • 11Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
  • 12Travel to customers in your region

Требования

  • 016+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • 02Experience designing and architecting distributed data systems
  • 03Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
  • 04Experience supporting Public Sector clients
  • 05Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • 06Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • 07Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
  • 08US Citizen

Условия

  • 01Pay Range Transparency: $180,000 — $247,500 USD
  • 02Comprehensive benefits and perks
  • 03Commitment to diversity and inclusion