![]() ![]() Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.Excellent communication skills and comfortable presenting to strategic stakeholders/leadership.Proven experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLFlow.Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces.Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP.Comfortable programming in Python, Scala or Java.Data Scientist/ML Engineer: model selection, model lifecycle, hyperparameter tuning, model serving, deep learning, etc. #Solution architect salary databricks software#Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.Proven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP.Hands-on and superior technical experience with Apache Spark.Work closely with Engineering and Product Management to drive the direction of the Databricks product.Deliver tutorials and trainings to drive community adoption (including hackathons, conference presentations, etc.).Architect production level workloads, including end to end pipeline load performance testing and optimization.Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success.Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.This role can be remote, but the ideal candidate will be located in the job listing area and have a willingness to travel up to 30%. As part of the RSA team, you will continue to strengthen your technical expertise through mentorship, continuous learning, and internal training programs. On a weekly basis, you will guide customers through architecture, design, and implementation while strategically aligning their technical roadmap for expanding the usage of the Databricks platform. This position is a senior level customer-facing role that requires deep expertise in Apache Sparkā¢ along with a breadth of big data solution architecture experience. As a Resident Solutions Architect, you will have the opportunity to shape the future big data landscape for leading Fortune 500 organizations. ![]()
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