Data Architect – Snowflake on AWS
Tasks
- Assess data landscape
- Define Snowflake performance and FinOps principles
- Define data quality reconciliation lineage metadata governance
- Define enterprise data product standards
- Define operational readiness monitoring alerting runbooks
- Define performance scalability availability recovery observability cost optimization
- Define security controls RBAC encryption masking privacy auditability
- Define target-state data architecture
- Design data ingestion storage transformation modeling
- Design raw landing curated business layers
- Establish ingestion patterns batch incremental near real time
- Guide migration from on premises
- Provide architecture governance and design assurance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lake | AWS Lake Formation | Alerting | Amazon Web Services | CI/CD | Data Catalog | Data Governance | Data Lineage | Data Quality | Data integration | Data masking | DataOps | Dimensional Modeling | ELT | ETL | Encryption | FinOps | Lake Formation | Metadata Management | Monitoring | Query Optimization | RBAC | Relational modeling | Snowflake | TOGAF | Web Services
Education
N/A
Roles
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