Databricks

Solutions Architect - Mexico

Databricks
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over 1 year ago
Remote, MexicoSenior

Responsibilities

  • Serve as the main technical voice for 1–10 clients.
  • Define and direct technical strategy for important enterprise accounts in partnership with the Enterprise Account Executive.
  • Lead customers through evaluating and adopting Databricks as part of their strategy.
  • Implement account technical strategy and align it around Databricks solutions.
  • Build a movement of technical champions within customer accounts.
  • Drive broader product use and deeper adoption of ML and AI.
  • Provide structured mentorship to other team members.

Requirements

  • Experienced pre-sales professional with a successful track record helping large enterprises become more data-driven.
  • Experience working with very large global accounts exceeding $1 million ARR.
  • Technical knowledge of big data, data science, and cloud technologies.
  • Experience with data-driven business transformation and driving organizational change with data.
  • Ability to establish virtual customer collaboration and lead customers to success within their accounts.
  • Ability to build relationships with executives and influencers and present convincing points of view to decision-makers.
  • Background in value selling, technical account management, and technical leadership.
  • Databricks Certification is preferred.

Benefits

  • Candidates must be based in Mexico City or Monterrey, Mexico.
  • The role requires up to 50% travel.
  • Comprehensive benefits and perks are offered, with region-specific details available at the Databricks benefits website.

Tech Stack

Apache SparkDatabricks

Categories

Solutions Engineering
Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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