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Senior Scale Solution Engineer

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Heredia, Costa Ricafull-timePosted 1mo ago

About the role

Senior Scale Solution Engineer at Databricks, acting as a technical anchor for scaled customer engagements across the lifecycle from pre-sales evaluation through onboarding and production, owning technical direction and building AI-augmented workflows to enable high-quality guidance at scale.

Responsibilities

  • You independently own engagements across the customer lifecycle.
  • Be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows.
  • Work directly with multiple customers concurrently and set the quality bar for the team.

Qualifications

  • Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform.
  • Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience.
  • 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.
  • Deep knowledge of at least one cloud platform (AWS, Azure, or GCP); familiarity with more than one is a plus.
  • Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows.
  • Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs.
  • Excellent time management and prioritization skills.
  • Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions.

Skills

Required:Communication and stakeholder managementCloud platformsAI/ML tooling and workflows

Benefits

  • For specific details on the benefits offered in your region click here.
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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