Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised

Description

  • Partner with customers to design scalable data architectures using Databricks technology and services.
  • Collaborate with Account Executives to engage customer technical leads and establish trusted advisor relationships.
  • Develop account strategies for assigned accounts to grow platform usage.
  • Establish Databricks Lakehouse architecture as the standard data architecture for customers through technical account planning.
  • Build and present reference architectures and demo applications for prospects.
  • Consult on big data architectures, data engineering pipelines, and data science and machine learning projects.
  • Validate Databricks integrations with cloud services and third-party applications.
  • Represent customer needs across Databricks teams and executive leadership.
  • Promote Databricks-inspired open-source projects through meetups, conferences, and webinars.

Requirements

  • 4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
  • Experience in at least one of the following: big data engineering, data warehousing and ETL, data science and machine learning, or data applications.
  • Experience translating business needs into technology solutions and building stakeholder buy-in.
  • Experience designing, architecting, presenting, and delivering production data systems.
  • Fluent in SQL and database technology.
  • Debug and development experience in Python, Scala, Java, or R.
  • Experience with public cloud providers such as AWS, Azure, or GCP (desired).
  • Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research (desired).
  • Willingness to travel to customers in your region up to 30% of the time.

Benefits

  • Comprehensive benefits and perks package.
  • Regional benefits details available from the company.
  • Opportunity to work for a global data and AI company.

Interested in this position?

Apply directly on the company website

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