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Solutions Architect

Databricks
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Brisbanefull-timePosted 6mo ago

About the role

Databricks Solutions Architect in Brisbane, Australia. Utilize technical expertise to demonstrate how the Data Intelligence Platform solves complex data challenges, build relationships with clients, and drive adoption of the Databricks platform.

Responsibilities

  • Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
  • Operate as an expert in big data analytics to excite customers about Databricks and develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead to adoption of the platform.
  • Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
  • Grow your knowledge and expertise to the level of a technical and/or industry specialist.

Qualifications

  • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
  • Develop customer relationships and build internal partnerships with account executives and teams.
  • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
  • Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
  • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Skills

Required:Programming (Python/Java/Scala)SparkBig Data AnalyticsSolution Architecture
Last updated Sep 10, 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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