Google Data Architect - Atlanta, GA, United States - Saama Technologies, LLC

Description

• Provide support and technical governance, expertise related to cloud architectures, deployment, and operations.
• Architecting data solutions on Google Cloud Platform e.g
  Big Data Projects, Data Modernization, Data Migrations, BI, etc.
• Demonstratable knowledge and hands-on experience using Google Big Query, DataForm, DataProc are mandatory.
• Experience architecting data solutions on Google Cloud Platform e.g
  Big Data Projects, Data Migrations, BI, etc.
• Act as a Subject Matter Expert to the client organization for Google Cloud Platform end to end architecture networking, provisioning, and management.
• Hands-on experience working with Google Data Products BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc..
• Participate in the architectural discussions, perform system analysis which involves a review of the existing systems and operating methodologies.
• Participate in the analysis of newest technologies and suggest the optimal solutions which will be best suited for satisfying the current requirements and will simplify the future modifications
• Design and Build the necessary infrastructure for optimal ETL from a variety of data sources to be used on Google Cloud Platform services
• Design appropriate data models for the use in transactional and big data environments as an input into Machine Learning processing.
• Develop solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services.
• Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table
• Ensure delivered solutions are realized in time frame committed work in conjunction with project sponsors to size and manage scope and risk.
• Provide support and technical governance, expertise related to cloud architectures, deployment, and operations.
• Experience with DWBI modeling framework is highly regarded
• Extensive experience working with SQL across a variety of databases
• Ability to apply analytical and creative thought process
  Proven success in contributing in a multi-location team-oriented environment.
• Google Cloud Platform certifications Architect, Data Engineer preferred.
• Bachelors or Master s degree in computer science or related discipline.
• 5+ years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies