Solutions Engineer
2 months ago
FEQ126R11
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world
The impact you will have:
Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.Contribute to building the Databricks technical through engagement at workshops, seminars, and meet-ups.Become a Big Data Analytics advisor on aspects of architecture and design.Support your customers by authoring reference architectures, how-tos, and demo applications.Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.What we look for:
Consulting, pre-sales or post sales experience working with external clients across a variety of industry marketsCore strength in either data engineering or data science advantageous3+ years of experience demonstrating technical concepts, including presenting and white-boarding3+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)3+ years of experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and othersSolid coding experience in Python, R, Java, Spark or Scala-
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