Senior Data Architect
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Administer azure sql databases
- Analyze data for trends and insights
- Analyze execution plans and query performance
- Apply normalization and denormalization trade offs
- Architect scalable Azure SQL architectures
- Build event driven pipelines with Event Hub and Service Bus
- Create interactive dashboards and reports
- Define data lifecycle management
- Design business process models
- Design columnar and NoSQL database solutions
- Design data integrations with Azure Data Factory
- Design data models and schemas
- Design elastic pool strategies
- Design integrations with Synapse Analytics
- Design partitioning and data archiving strategies
- Develop SQL solutions
- Diagnose blocking deadlocks wait types and resource bottlenecks
- Enforce schema and data validation rules
- Handle schema evolution and schema drift
- Implement CI/CD pipelines for database deployments
- Implement ETL and ELT pipelines
- Implement retry restartability and idempotency
- Implement staging landing quarantine and error tables
- Implement vCore and DTU architecture recommendations
- Optimize costs with auto scaling strategies
- Perform database migration with Azure Database Migration Service
- Plan capacity for high concurrency and burst workloads
- Propose technical solutions for business needs
- Provision configure and upgrade databases
- Redesign schemas for performance and scalability
- Support business intelligence strategies
- Troubleshoot connectivity performance and job failures
- Tune stored procedures views and queries
- Use Azure Monitor and Log Analytics for monitoring
- Use Query Store DMVs and Extended Events for troubleshooting
Perks/Benefits
- N/A
Skills/Tech-stack
Auto Scaling | Azure | Azure Data | Azure Data Factory | Azure Event | Azure Event Hub | Azure Monitor | Azure SQL | Azure SQL Database | Azure Service | Azure Service Bus | Azure Synapse | Azure Synapse Analytics | Backup and Restore | CI/CD | Columnar Databases | DMV | DTU | Data Factory | Data Lifecycle Management | Data Modeling | Data Visualization | Data archiving | Data lifecycle | Database Administration | Database Migration | Database Migration Service | Database provisioning | Dimensional Modeling | Disaster Recovery | ELT | ETL | Elastic Pools | Event Hub | Execution Plans | Extended Events | High Availability | Index Reorganize | Index rebuild | Integrity checks | Lifecycle Management | Log Analytics | Log Management | NoSQL | OLAP | OLTP | Partitioning | Performance Insight | Point In Time | Point-in-time recovery | Power BI | Predictive Analytics | Query Optimization | Query Performance Insight | Query performance | Query store | SQL | SQL Database | SQL Profiler | SQL Server | Serverless | Service Bus | Slowly Changing Dimensions | Snowflake Schema | Star Schema | Statistics Update | Stored Procedures | Synapse Analytics | TempDB Management | Transaction Log Management | Transaction log | VCore
Education
Roles
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