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As a Sr. Specialist Solutions Architect, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark and expertise in other data technologies.

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Your responsibilities will include providing technical leadership to guide strategic customers to successful implementations on big data projects, architecting production-level data pipelines, becoming a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows, assisting Solution Architects with more advanced aspects of the technical sale, and contributing to the Databricks Community.

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To succeed in this role, you will need to have a strong background in software engineering and data engineering, with expertise in at least one of the following areas: software engineering/data engineering, data applications engineering, or deep specialty expertise in areas such as scaling big data workloads, migrating Hadoop workloads to the public cloud, or experience with large-scale data ingestion pipelines and data migrations.

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You will also need to have a bachelor's degree in computer science, information systems, engineering, or equivalent experience through work experience, production programming experience in SQL and Python, Scala, or Java, and 2 years of professional experience with Big Data technologies and architectures.

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XML job scraping automation by YubHub

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