As a Sr. Solutions Architect, 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 Sr. Manager, Field Engineering.
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
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
Comfort in designing and implementing architectures within a public cloud (AWS, Azure or GCP)
Exposure to 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
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
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
Comfort in designing and implementing architectures within a public cloud (AWS, Azure or GCP)
Exposure to 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
