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Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Information Systems or a related field
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Years of direct experience in Big Data, Data Warehousing, Data Analytics, and/or Information Management related projects
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Years of direct experience in cloud data solution architectures, design and development including ETL, data warehousing, data lakes, and big data
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Years of experience using SQL including development of stored procedures, functions, triggers and views
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Years of experience building and orchestrating workflows using Python and Airflow
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Years of direct experience with one or more database/data warehouse technologies (e.g., Oracle, MSSQL, MySQL, PostgreSQL, Hadoop, Teradata, Redshift, Snowflake)
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Years of direct experience working in a cloud environment such as AWS, Azure or Google Cloud Platform
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Years of experience using Terraform for infrastructure as code
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Excellent critical thinking and problem-solving skills
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Must be self-sufficient and proactive
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Deep understanding of agile development methods including core values, guiding principles, and key agile practices
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A strong understanding of data modelling techniques, data mining, predictive modeling, and statistical analysis
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Experience working in retail business (preferred)
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Experience working in a franchised business (preferred)
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Extremely detail-oriented, efficient, and organized with an exceptional ability to establish and balance multiple priorities and objectives
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Excellent presentation and communication skills along with the ability to communicate effectively across all levels of the organization
Senior Data Architect1Google Cloud Platform,AirFlow,SQL,Azure,big data,Python,AWS,etl,Data Warehousing,terraform,Data lakesN/AFull TImeUnited States
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