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Lead Data Architect at Treehouse Technology Group (Austin, TX)

Treehouse Technology Group Data Architect  
As a Data Architect, you will work with stakeholders and the internal development team to guide technical development of enterprise data solutions. The Data Architect is a combination of a business and technical customer facing role that will be accountable for the end-to-end customer data architecture, development, deployment and support. The Data Architect will be responsible for working with stakeholders to identify opportunities to leverage data to drive business value. In addition, you will be responsible for mining and analyzing data to drive efficiency and optimization, develop custom data models and algorithms, and develop processes and tools to monitor production systems and data accuracy.The ideal candidate will have experience in customer facing and development management roles and have led successful technical and economic value discussions with senior customer executives, driving decisions and implementation.
Requirements:
On site in Austin TXMinimum 5 years related experienceHas to have led\managed a team formally for at least a yearAWS and\or Azure experience architecting solutions in Cloud EnvironmentsAgile software development experienceData background either in Analytics, Warehousing, Data Integration\API Dev, Visualization, etc Technical Background  Can be one of following or multiple: Data Engineer Integration Engineer using SSIS, Talend, PentahoData WarehousingData ModelingBig Data technologiesMap/Reduce, Hadoop, Hive, Spark, Elasticsearch, etcSQL Server, MySQL, Aurora primary experience (Oracle, Postgres, MongoDB secondary experience)
Data Scientist Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.TensorFlow, KubernetesR, SQL, Python Pandas, Scikit, NumpyData VisualizationSQL Server, MySQL, Aurora primary experience (Oracle, Postgres, MongoDB secondary experience)Map/Reduce, Hadoop, Hive, Spark, ete