Architect multiple

Solutions Architect (Multiple Positions), Databricks, Inc., New York, NY. Responsible for architecting, designing and implementing advanced, customer-specific big data analytics solutions using advanced knowledge of data architecture, data mining, data engineering, machine learning, computer programming and emerging open source technologies. Understand customer requirements and evaluate various Databricks technologies to fulfill them. Create initial proof of concepts for building end-to-end solutions which satisfy customer requirements using Databricks' technology platform. Identify and improve new plans that help customers turn their data into relevant value and align these plans with their outcomes for continued success. Architect production level workloads, including end-to-end pipeline load performance testing and optimization. Analyze strategic customer existing pain points and develop code to solve scalability performance and stability requirements. Build reference architectures, how-tos and demo applications of Databricks products for customer use. Telecommuting permitted. (DBxNY004)40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. $173, 110 - $183, 110/yr. Standard company benefits.MINIMUM REQUIREMENTS:Must have a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Data Science or a related field, plus 60 months of progressive, post-baccalaureate experience in data engineering, data platforms or data analytics roles. Of the required experience, must have 24 months in Data Analysis; and Coding in Python, Java or Scala.Of the required experience, must have 12 months in Cloud; Data Engineering; and Data Science.Of the required experience, must have 24 months of experience in at least 5 of the following (which may be gained concurrently): Apache Spark and Spark runtime internals; CI/CD for production deployments; Design and deployment of performant end-to-end data architectures; Technical project delivery, including managing scope, timelines and client relationships; Designing and implementing big data technologies including at least one of the following: Apache Spark, Hadoop, Cassandra, NoSQL, MPP, OLTP or OLAP; Programming experience with at least one of the following languages: Python, Scala or Java; and Designing solutions on at least one of the following cloud infrastructure/services: AWS, Azure, or GCP.Up to 25% domestic travel required. To apply, please send resumes to [email protected] and reference job code DBxNY004.