Solutions Architect
- Category: Architect / Interior Designer Jobs
- Location: Sydney, New South Wales
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 20K to 28K
- Published on: 2025/07/29
Job description
This is a key role for a Solutions Architect with Databricks, a leading company in Australia.
The company is continuing to grow rapidly and this is an exciting opportunity to be part of it from the outset.
More About the Role at Databricks
You will be a vital member of the team, utilizing your technical expertise to demonstrate how our Data Intelligence Platform can help customers overcome complex data challenges. You will collaborate with a customer-focused team that values innovation and creativity, using your skills to create customized solutions that help our customers achieve their goals and drive their businesses forward.
The Impact You Will Have:
Establish successful relationships with clients within your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
Act as an expert in big data analytics, showcasing the benefits of Databricks to customers. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation, leading to the successful adoption of the Databricks Data Intelligence Platform.
Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and contribute to building the Databricks community in your region by leading workshops, seminars, and meet-ups.
Cultivate your knowledge and expertise to become a technical and/or industry specialist.
What We Look For:
Engage customers in technical sales, address 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.
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