Data Architect - Google Cloud Platform (10-15 yrs)

Responsibilities :

- Design, build, and maintain scalable data lake and data warehouse in the cloud (GCP)

- Creating solution prototypes and participating in technology selection. Perform POC and technical presentations.

- Architect, develop, and test scalable data warehouses and data pipelines architecture in Cloud To technologies (GCP)

- Design and develop scalable ETL processes, including error handling.

- Preparing data structures for advanced analytics and self-service reporting using MS SQL, SSIS, and SSRS.

- Write scripts for stored procedures, database snapshot backups, and data archiving.

Requirements :

- 10+ years of relevant work experience, including previous experience leading data-related projects in the field of Reporting and Analytics.

- Expertise in gathering business requirements, analyzing business needs, and defining the BI/DW architecture to support and help deliver technical solutions to complex business and technical requirements.

- Experience in SQL and No SQL DBMS like MS SQL Server, MySQL, PostgreSQL, DynamoDB, Cassandra, and MongoDB.

- Expert in Query and program languages MS SQL Server, T-SQL, PostgreSQL, MY SQL, Python, R.

- Experience with any of these cloud-based technologies: PowerBI/Tableau, Azure Data Factory, Azure Synapse, Azure Data Lake. AWS RedShift, Glue, Athena, AWS Quicksight. Google Cloud Platform.

Good to have :

- Agile development environment pairing DevOps with CI/CD pipelines.

- AI/ML background.