Designing PaaS and IaaS database technology (RDBMS, NoSQL, Distributed database)

• Designing cloud infrastructure services (Compute, Storage, Network etc…) for DB deployment

• Design Database Authentication and Authorization (IAM, RBAC) solution

• Capacity planning, performance analysis and database optimization to manage DB workload

• Analysing and Identifying infrastructure requirements for on premise, and on other cloud environments like Azure, Google, AWS

• Designing High Availability and Disaster Recovery solution for Database deployment on IaaS and PaaS platform

• Designing database Backup and Recovery solution using native or enterprise backup solution

• Designing database / data management and optimization job / task automation

• Designing Homogeneous and Heterogeneous database migration solution within On-Premise or On-Premise to Cloud (IaaS and PaaS)

• Designing database monitoring, alert notification/reporting, data masking/encryption solutions

• Designing ETL / ELT solution for data ingestion and data transformation

• Mentor implementation teams, handhold when needed on best practices and make sure the solution is implemented in right way

• Prepare high-level and low-level design document as required for implementation team

• Databases Technology and DB Services: Azure SQL, Azure SQL MI, PostgreSQL, MySQL, Oracle, SQL Server, AWS RDS, Amazon Aurora, Cloud SQL, Cloud Spanner, Cosmos DB, Azure Synapse Analytics / Google BigQuery / Amazon Redshift.

Education: Bachelor's degree in Engineering / Computer Science, Computer Engineering, Information Technology.

Experience: Min: - 12 Years, Max: - 20 Years