Database Architect (AI Platform)
IND CHNN 32 A&B 3FL STE C-D, India
INR 2040K-2400K (estimate) Senior-level Full Time
Tasks
- Build databases and data services for AI machine learning workloads
- Define SLAs SLOs and operational runbooks
- Define and implement data governance frameworks
- Define data access patterns and performance strategies
- Define data retention archival and purge policies
- Design data integration between AI platform and fintech systems
- Design enterprise AI platform data architecture
- Enable automation CI CD and Infrastructure as Code for data components
- Implement access controls encryption masking and auditing
- Implement and manage databases on public cloud
- Implement cloud database and data storage technologies
- Implement secure data ingestion synchronization and replication
- Monitor and tune database performance
- Optimize scalability availability cost and performance
- Own database reliability backup recovery high availability and disaster recovery
- Perform data transformation reconciliation and lineage
- Provide technical guidance and mentor database engineers
- Support incident resolution and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Amazon Redshift | Auditing | Availability | Azure | Azure Resource | Azure Resource Manager | Backup and Recovery | BigQuery | CI/CD | Cassandra | CloudFormation | Containerized Systems | Cost Optimization | Data Classification | Data Governance | Data Lineage | Data Quality | Data integration | Data masking | Disaster Recovery | Distributed Systems | DynamoDB | Encryption | Feature Store | GCP | High Availability | Infrastructure as Code | Metadata Management | MongoDB | MySQL | Oracle | Performance Tuning | PostgreSQL | Resource manager | SQL Server | Scalability | Snowflake | Terraform | Vector Database | “as-code”
Education
N/A
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