Data Architect - Google Cloud Platform

As a Data Architect, you will have the following responsibilities: - Design, build & maintain scalable data lake and data warehouse in cloud (GCP). - Expertise in gathering business requirements, analyzing business needs, defining the BI/DW architecture, and delivering technical solutions for complex business and technical requirements. - Create solution prototypes and participate in technology selection, perform POC, and technical presentations. - Architect, develop, and test scalable data warehouses and data pipelines architecture in Cloud Technologies (GCP). - Experience in SQL and No SQL DBMS like MS SQL Server, MySQL, PostgreSQL, DynamoDB, Cassandra, MongoDB. - Design and develop scalable ETL processes, including error handling. - Expertise in Query and program languages such as MS SQL Server, T-SQL, PostgreSQL, MY SQL, Python, R. - Prepare data structures for advanced analytics and self-service reporting using MS SQL, SSIS, SSRS. - Write scripts for stored procedures, database snapshots backups, and data archiving. - Experience with cloud-based technologies like PowerBI/Tableau, Azure Data Factory, Azure Synapse, Azure Data Lake, AWS RedShift, Glue, Athena, AWS Quicksight, Google Cloud Platform. Qualifications required for this role include: - 10+ years of relevant work experience, with previous experience leading Data related projects in the field of Reporting and Analytics. - Knowledge of Agile development environment pairing DevOps with CI/CD pipelines is a plus. - Background in AI/ML would be beneficial. If you are looking for a challenging role where you can utilize your expertise in data architecture and cloud technologies, this opportunity may be a perfect fit for you. As a Data Architect, you will have the following responsibilities: - Design, build & maintain scalable data lake and data warehouse in cloud (GCP). - Expertise in gathering business requirements, analyzing business needs, defining the BI/DW architecture, and delivering technical solutions for complex business and technical requirements. - Create solution prototypes and participate in technology selection, perform POC, and technical presentations. - Architect, develop, and test scalable data warehouses and data pipelines architecture in Cloud Technologies (GCP). - Experience in SQL and No SQL DBMS like MS SQL Server, MySQL, PostgreSQL, DynamoDB, Cassandra, MongoDB. - Design and develop scalable ETL processes, including error handling. - Expertise in Query and program languages such as MS SQL Server, T-SQL, PostgreSQL, MY SQL, Python, R. - Prepare data structures for advanced analytics and self-service reporting using MS SQL, SSIS, SSRS. - Write scripts for stored procedures, database snapshots backups, and data archiving. - Experience with cloud-based technologies like PowerBI/Tableau, Azure Data Factory, Azure Synapse, Azure Data Lake, AWS RedShift, Glue, Athena, AWS Quicksight, Google Cloud Platform. Qualifications required for this role include: - 10+ years of relevant work experience, with previous experience leading Data related projects in the field of Reporting and Analytics. - Knowledge of Agile development environment pairing DevOps with CI/CD pipelines is a plus. - Background in AI/ML would be beneficial. If you are looking for a challenging role where you can utilize your expertise in data architecture and cloud technologies, this opportunity may be a perfect fit for you.