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Databricks

Builds cloud software for data analysis and AI

Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • Experience as a pre-sales professional with a successful track record helping large enterprises become more data-driven.
  • A solid background in value selling, technical account management, and technical leadership.
  • Technical understanding of machine learning and artificial intelligence and their relevance and application across use cases important to critical accounts.
  • Proficiency in establishing virtual customer collaboration and leading customers to success within the account.
  • Experience working many accounts simultaneously.
  • Ability to form relationships with executives and influencers.
  • Ability to present a convincing point of view to decision-makers.
  • Technical knowledge of big data, data science, and cloud.
  • Ability to drive data-driven business transformation and change with data.

Responsibilities

  • Work with Enterprise Account Executives to define and direct technical strategy for important accounts, promoting wider product use and deeper adoption of machine learning and artificial intelligence.
  • Serve as the main technical voice for Databricks across client accounts.
  • Lead customers through a transformational journey to evaluate and adopt Databricks as part of their strategy.
  • Implement the account's technical strategy in alignment with the overall strategy.
  • Build a network of technical champions within customer accounts.
  • Align technical strategies around Databricks solutions.
  • Provide structured mentorship to other team members.
  • Work closely with business partners.
  • Lead one-to-many initiatives, including webinars and workshops.

Desired Qualifications

  • Databricks and cloud-provider certifications.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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