Solutions Architect : Data & AI at Databricks

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Solutions Architect : Data & AI Databricks. As a . 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. . This will be the first hire in the region !. 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 Apache 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:. Strong consulting / customer facing. experience , working. . with external clients across a variety of industry markets. Core strength in either data engineering or data science technologies. 8+ years of experience. demonstrating technical concepts, including . demos. , . presenting and white-boarding. 8+ years of experience . designing architectures. within a public cloud (AWS, Azure or GCP). 6+ years of experience. with . Big Data technologies. , including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. Coding experience in Python, R, Java, Apache Spark™ or Scala. Benefits. Private medical insurance. Accident coverage. Employee's Provident Fund. Equity awards. Paid parental leave. Gym reimbursement. Annual personal development fund. Work headphones reimbursement. Business travel insurance. Mental wellness resources