Praval - Lead Azure Database Administrator

At Praval, we believe that technology has the power to transform businesses and enrich lives. As a team, we strive to create innovative software applications, design intuitive user interfaces, develop robust collaborative systems, and explore emerging technologies that push the boundaries of what is possible.

Our goal is to deliver outstanding IT solutions that solve complex problems and drive our clients' success in today's digital age. We believe in recognizing and rewarding exceptional performance, and we offer a competitive compensation package that includes benefits, flexible work arrangements, and a vibrant work-life balance.

If you are passionate about technology, thrive in a fast-paced and dynamic environment, and are eager to make a real impact in the IT industry, Praval is the place for you. Come be a part of our journey as we revolutionize the world of technology and shape the future together.

You are great at :

Azure Database Management :

- Manage and administer Azure SQL Database, Azure SQL Managed Instance, Azure Synapse SQL Pools, and Azure PostgreSQL/MySQL services.

- Implement backup/restore strategies, point-in-time recovery, retention policies, and geo-replication.

- Monitor performance and optimize queries, indexes, resource allocation, and scaling.

Data Analytics Platform Operations :

- Manage storage layers such as Azure Data Lake Storage (ADLS Gen2), SQL DBs, and Warehouse systems.

- Support data engineering pipelines (ADF, Synapse Pipelines, Data Flows), ensuring data availability and reliability.

- Maintain metadata systems, schema evolution, and data cataloging.

Security, Governance & Compliance :

- Configure data security (TDE, Always Encrypted, masking, firewall, private endpoints).

- Ensure compliance with governance standards and maintain audit logs.

Performance Monitoring & Optimization :

- Diagnose slow queries, deadlocks, failed jobs, and optimize workloads.

- Implement automated alerts and health checks.

Operational Support :

- Provide production support for analytics workloads (Power BI, Fabric, Synapse, external applications).

- Troubleshot ingestion failures, job delays, schema conflicts, and compute/storage bottlenecks.