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Databricks

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Solutions Architect

🗓️ Posted 2026-08-25 Central - United States Hybrid ICT

Company shared salary

NA

Market rate

₹65,000–₹95,000/mo (₹780,000–₹1,140,000/yr)

Based on similar roles (title + domain + location).

Responsibilities

  • Serve as the primary technical voice for Databricks across multiple client accounts.
  • Collaborate with Enterprise Account Executives and Senior Architects to define and direct technical strategy for large enterprises.
  • Lead customers through a transformational journey, helping them evaluate and adopt Databricks as part of their data strategy.
  • Implement the agreed technical strategy within accounts, ensuring alignment with overall business goals.
  • Build and nurture a network of technical champions within each account to drive adoption of Databricks solutions.
  • Align technical initiatives and solutions around Databricks offerings to meet client needs.
  • Provide structured mentorship and guidance to other members of the pre sales and technical teams.
  • Earn the respect of peers through proven experience, insightful recommendations, and tangible contributions.
  • Work with hands on resources to build proofs of concept and demonstrate Databricks products to prospective customers.
  • Leverage expertise in machine learning and AI to illustrate their relevance across high tech and manufacturing use cases.

Requirements

  • Proficiency in establishing and leading virtual teams to achieve success within accounts.
  • Experience managing very large, global accounts with annual recurring revenue exceeding 1 million.
  • Ability to build relationships with executives and key influencers.
  • Skilled at presenting a convincing point of view to decision makers, guiding them toward successful outcomes.
  • Technical expertise in big data, data science, and cloud technologies.
  • Strong background in data driven business transformation and driving change with data.
  • Production programming experience in Python, R, Scala, or Java.
  • Solid background in value selling, technical account management, and technical leadership.
  • Deep understanding of the relevance and application of machine learning and AI across enterprise use cases.
  • Nice to have: Databricks certification.