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Databricks

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. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .

Solutions Architect, Hunter – Digital Native Business

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2013H1B SponsorCompany SiteLinkedIn

Location

California + 6 moreAll locations: California | Colorado | Illinois | New York | Oregon | Texas | Washington

Posted

35 days ago

Salary

$180K - $247.5K / year

Seniority

Senior

Job Description

Solutions Architect, Hunter – Digital Native Business

Databricks

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems • Work directly with prospective, greenfield customers on their 0 to 1 journey with Databricks • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows • Collaborate with fellow Solutions Architects, using your skills to support each other and our users • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community

Job Requirements

  • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • Experience building distributed data systems at scale
  • Comfortable programming in, and debugging, Python and SQL
  • Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise in Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
  • Available to travel to customers in your region
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • Nice to have: Databricks Certification

Benefits

  • Comprehensive benefits and perks
  • Annual performance bonus eligibility
  • Equity opportunities

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