As a Pre-sales 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 Databricks Lakehouse 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 Solutions Architect Manager.

The impact you will have:
● You will be a Big Data Analytics expert on aspects of architecture and design
● Lead your clients through evaluating and adopting Databricks including hands-on Spark
programming and integration with the wider cloud ecosystem
● 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
either data engineering or data science advantageous
● Experience demonstrating technical concepts, including presenting and white-boarding
● Experience designing and implementing architectures within a public cloud (AWS, Azure
or GCP)
● Experience with Big Data technologies, including Spark, AI, Data Science, Data
Engineering, Hadoop, Cassandra, and others
● Solid coding experience in Python, R, Java, Spark or Scala
● Bachelor's degree in Computer Science, Information Systems, Engineering, or
equivalent experience through work experience