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Solutions Architect
Posted on 7/26/2022
INACTIVE
Locations
Seattle, WA, USA • San Francisco, CA, USA • Austin, TX, USA • Los Angeles...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Data Science
Hadoop
Kafka
Leadership
Pandas
Research
Sales
SQL
Operations Research
Scikit-Learn
Requirements
  • Solution Architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences almost every day, primarily through presentations, whiteboarding, and platform demonstrations
  • 3+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • Experience designing and architecting distributed data systems
  • 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, etc.)
Responsibilities
  • Partner with the sales team to help customers understand how Databricks can help solve their business problems
  • Provide technical leadership for customers to understand, evaluate, and ultimately 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
  • Provide an escalated level of support for critical customer operational issues
  • Become an expert in, and evangelize Databricks driven open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, webinars, etc
  • Understand your strengths, and use them to help your fellow SA's, and to drive cross-functional relationships across the company
  • Travel to customers (up to 30%, of which 80%+ local to your region)
Databricks

1,001-5,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Benefits
  • Extended health care including dental and vision
  • Life/AD&D and disability coverage
  • Equity awards
  • Flexible Vacation
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Paid Parental Leave