Solutions Architect

7 days ago

Washington, Washington, D.C., United States Databricks Full time

About the Role:

We are seeking a highly skilled Solutions Architect to join our team at Databricks. As a Solutions Architect, you will lead the growth of the Databricks Unified Analytics Platform, working closely with customers, product teams, and post-sales teams to identify use cases, develop architectures, and guide customers through implementation.

Key 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 (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

Preferred Qualifications:

  • Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
  • Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)
  • Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • US Citizen

Compensation and Benefits:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $139,900-$247,300 USD, and actual compensation packages are based on several factors, including job-related skills, depth of experience, relevant certifications and training, and specific work location.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and benefits. For more information, please visit our page here.

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