Job Description

As a Senior Solutions Engineer (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 (SA) Manager.

The Impact You Will Have

• You will be a Big Data Analytics expert on aspects of architecture and design
• Engage with the technical community by leading presentations , workshops, seminars and meet-ups
• 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
• 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

• Consulting , pre-sales or post sales experience working with external clients across a variety of industry markets
• Core strength in either data engineering or data science advantageous
• 5+ years of experience demonstrating technical concepts, including presenting and white-boarding
• 4+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 4+ years of 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

About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.