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Data Architect-
Location-Atlanta - Remote to start Design and document architecture and standard patterns for leveraging dbt. Coordinate with the overall data pipeline architect on which patterns and use cases should involve dbt. Topics include: Dimensional Models: Developing dimensional models that feed user interactions through Tableau and ThoughtSpot. Refreshing this data without impact to user activity. Transformation Sequences: Managing transformations that occur in multiple steps Transformation Iterations: Developing patterns and use cases for looping patterns Scheduled Processes: Scheduled queries and data refreshes Access Controls: Privileges granted to individuals and service accounts CI/CD: Managing changes in the environment Quality Engineering: Incorporating tests for data quality SRE: Monitoring of processes, Documentation Portal: Unified portal for the data ecosystem Data Lake: AWS S3, Glue catalogs, Delta Lake AWS Redshift: Data warehouses, compute, transformations, and serves Tableau and ThoughtSpot clients Apache Airflow: Data pipelines dbt: Self-service data transformations Databricks: Data science, data engineering, and data analytics platform in a lakehouse architecture