Sr. Solutions Architect

4 months ago

Sydney, Australia Databricks Full time

While candidates in the listed location are encouraged for this role, we are open to remote candidates in other locations. This is a full time position.

As a Pre-sales Sr. Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Field Engineering Manager of your assigned territory and segment.

The impact you will have:

You will be a Big Data expert on aspects of architecture and design on public cloudLead your prospects through evaluating and adopting DatabricksSupport your customers by authoring reference architectures, how-tos, and demo applicationsIntegrate Databricks with 3rd-party applications to support customer architecturesEngage with the technical community by leading workshops, seminars and meet-upsTogether with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

Pre-sales or post-sales experience working with external clients across a variety of industry marketsUnderstanding of customer-facing pre-sales or consulting role with a core strength in Data Engineering and Cloud Architect advantageousExperience demonstrating technical concepts, including presenting and whiteboardingExperience designing and implementing architectures within public clouds (AWS, Azure or GCP)Experience with Big Data technologies, including Apache Spark™ , AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.Fluent coding experience in Python or Scala implementing Apache Spark™, JavaExperience with Data Science and related technologies (R and various algorithms) would be a plus

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