While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

As a Senior Pre-sales Solutions Architect (Data engineering, 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 key part of the sales team, acting as a technical advisor, and working 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, establishing a clear architectural vision and identifying compelling use cases, helping our customers realise value. 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 Manager, Field Engineering.

The impact you will have:

• You will be a big data engineering architect covering Data Engineering and Data Science area
• Lead your clients through evaluating and adopting the Databricks lakehouse platform
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Engage with the technical community (both internal and customer) 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- or post-sales experience working with external clients providing thought leadership
• We are currently focussing on our Healthcare, Life Sciences, Genomics or Pharmaceutical vertical sector and would very much welcome such experience.
• As this is a broad and varied role, you should have proven expertise in data, such as data engineering, architecture or data science
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within a public cloud (AWS, Azure or GCP)
• You will have experience with at least some big data technologies, such as Spark, Hadoop, Cassandra, etc. applied to solutions within data engineering, data science, MLOps and platform migrations
• Fluent coding experience in one or more of the following: Python, R, Java or Scala
• A minimum of a bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or equivalent experience through demonstrable work experience

Benefits

• Private medical, dental and cash refunds for health expenses
• Life, disability and critical illness coverage
• Group personal pension with company contribution
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel accident insurance