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Data Engineering Cloud Architect Lead

1 month ago


Sydney, New South Wales, Australia Databricks Full time
Data Engineering Cloud Architect Lead

We offer a highly competitive salary in the range of $120,000 - $180,000 per year.

About the Role:

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) at Databricks, 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. Your primary goal will be to help our customers 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.

The Impact You Will Have:
  • You will be a Big Data expert on aspects of architecture and design on public cloud.
  • Lead your prospects through evaluating and adopting Databricks.
  • Support your customers by authoring reference architectures, how-tos, and demo applications.
  • Integrate Databricks with 3rd-party applications to support customer architectures.
  • Engage with the technical community by leading workshops, seminars, and meet-ups.
  • Together 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 markets.
  • Understanding of customer-facing pre-sales or consulting role with a core strength in Data Engineering and Cloud Architect advantageous.
  • Experience demonstrating technical concepts, including presenting and whiteboarding.
  • Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP).
  • Experience with Big Data technologies, including Apache SparkTM, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
  • Fluent coding experience in Python or Scala implementing Apache SparkTM, Java.
  • Experience with Data Science and related technologies (R and various algorithms) would be a plus.