
Solutions Architect – AI Natives Business
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in California, +3 more states.
• Influence the evolution of the big data ecosystem by supporting Databricks' Strategic Digital Natives initiative.
• Work collaboratively with clients, product teams, and the wider customer-facing group to design architectures and solutions utilizing Databricks' platform and APIs.
• Assist customers in navigating the competitive landscape, adhering to best practices, and facilitating implementation.
• Cultivate technical advocates among clients.
• Collaborate with the sales team and provide technical guidance to demonstrate how Databricks addresses business challenges.
• Advise on Big Data architectures and execute proofs of concept for key projects spanning data engineering, data science, machine learning, and SQL analysis workflows.
• Confirm integrations with cloud services, proprietary tools, and third-party applications.
• Team up with fellow Solutions Architects to support users and each other.
• Advocate for Databricks open-source projects and engage contributors from the developer community.
• Over 5 years of experience in data engineering, data science, technical architecture, or a related pre-sales/consulting capacity.
• Proven experience in constructing distributed data systems.
• Proficient in programming and debugging with Python and SQL.
• Experience in developing solutions utilizing public cloud providers such as AWS, Azure, or GCP.
• Knowledgeable in data engineering technologies like Spark, Hadoop, or Kafka, or data science and machine learning technologies including pandas, scikit-learn, PyTorch, or TensorFlow.
• Willingness to travel to client locations within the region.
• A degree in a quantitative field is preferred but not mandatory.
• Databricks Certification is advantageous but not essential.
• Preference for candidates in Pacific Time; candidates in Mountain Time will be considered.
• Eligibility for an annual performance bonus.
• Equity options.
• A comprehensive array of benefits and perks; specific regional details will be provided by Databricks.
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